CN102614021B - Disaster relief triage processing device and method for data collecting and triage processing - Google Patents

Abstract

The disaster rescue inspection and processing device of the present invention is composed of an input device, a display device, an alarm device, a signal acquisition device, a communication port, and a signal processing device. The wounded injury data collected by signal collection devices and various instruments on site are converted into standard data formats, transmitted to storage devices for storage, and used to receive setting data, including objective data collection devices and basic data collection devices; also include The first data processing device is used to process the associated data collected at the disaster site to form suggested data, which includes a first data type identification device, a first data weighting device, and a first data synthesis device; it also includes a data forwarding device for In response to the data request outside the disaster rescue inspection and processing device, a signal is sent to the display device and the alarm device. It also includes a data processing method utilizing the present invention.

Description

Disaster rescue inspection and processing device and data acquisition inspection and processing method

technical field

The invention relates to a data collection and processing device and a data processing method, in particular to a data collection device and a data processing method for casualty information in the field of disaster rescue.

Background technique

In disaster sites such as earthquake relief and disaster relief, the collection of wounded and sick information usually requires the use of various medical devices and equipment. In chaotic scene conditions, the wounded information cannot be collected comprehensively and completely. The collected data is usually recorded in the paper-based wounded and sick registration book. The triage process mainly relies on the subjective judgment of the emergency doctor on the diagnosis information, and the paper triage card will be used to assist in the classification. Due to the use of paper media to record the information of the wounded on the scene in harsh environments and dangerous places, the on-site first responders cannot sort out the information while providing rescue, and the messy information cannot provide timely suggestions for emergency doctors. During the transfer process of the wounded, the registration book and classification card will be damaged or lost, making the original record incomplete. The data content that can be recorded in paper media is limited, and it is inconvenient to carry a large number of registration books and classification cards of the wounded in the process of sudden large-scale centralized rescue. At the same time, the poor traffic on the scene made it difficult to transmit on-site information to the rear in a timely manner, resulting in the inability to classify and summarize the data of the wounded in a timely manner, which could not become an important basis for the rear to adjust disaster relief resources.

Using paper-based wounded and sick registers to manually enter wounded data in a dangerous environment is prone to errors, omissions, or content ambiguity, resulting in a lack of completeness of wounded and sick data, which makes doctors in the transfer process misjudgment and cannot be completed better. rescue mission. The paper-based injury classification card is used in the treatment of the wounded. The data cannot be effectively correlated, and the timeliness of the injury and disease information of the wounded cannot be displayed, which affects the continuity and effectiveness of the treatment, resulting in incoherence in each stage of treatment. Repeated injury inspections cannot be timely and timely Effective and accurate treatment of the wounded is not conducive to rapid diagnosis of a single wounded, and it is impossible to conduct timely statistical analysis of a large number of wounded injuries and fully deploy limited medical and rescue resources.

At present, there is no professional equipment that can quickly collect the key data of the wounded at the disaster site directly, and at the same time form real-time correlation data between the data, realize the rapid collection, recording and judgment of field data, and quickly associate and classify data in the transfer link , and meet the timeliness and completeness of the wounded data.

Contents of the invention

The purpose of the present invention is to provide a disaster rescue inspection and processing device, which is used to solve the problem that the wounded and sick data cannot be quickly collected and stored in real time during the disaster rescue process, the timeliness and integrity of the data are not easy to guarantee, and the diagnostic results in dangerous environments lack reference. Data technical issues.

Another object of the present invention is to provide a method for processing wounded data using the above-mentioned device, which is used to solve the technical problem of lack of necessary reference data in each link of the rescue process.

The disaster rescue inspection processing device of the present invention is composed of an input device, a display device, an alarm device, a signal acquisition device, a communication port, and a signal processing device. The input device is used to input the setting data of the disaster rescue inspection processing device, and displays The device is used to display the processing results of the signal processing device. The alarm device is used to receive the control signal of the signal processing device and issue an audible and visual alarm. The signal acquisition device is used to collect the physical sign data of the wounded at the disaster site. Device, display device, alarm device and signal acquisition device are connected, wherein: the signal processing device includes

The storage device is used to store the input data through the communication port and the input data collected by the sensor module, store the associated data between the input data, and store the basic configuration data and each device in the disaster rescue and inspection processing device. The parameter data of the data processing model of the device, storing the intermediate data in the data processing process of each device, and storing the input interface data structure for formatting the input data;

The data acquisition device is used to convert the injury data of the wounded collected by the sensor module, various detection instruments, intuitive judgment methods and indirect detection methods at the disaster rescue site into a standard data format, transmit them to the storage device for storage, and use them for Receive setup data for each device, including

The objective data collection device is used to convert the input data collected by the collection device and various detection instruments into formatted structural data according to the input interface data structure of the data processing model in the storage device at different data collection stages to form the described Correlation data between wounded data and sent to the storage device for storage;

The basic data acquisition device is used to receive the basic setting data of the disaster rescue inspection and processing device, each data processing model, and the parameter data of each data processing model, which are collected by the intuitive judgment method and indirect detection method through the input device The input data of the injuries of the wounded, form the associated data between the data of the injuries of the wounded, and transmit to the storage device for storage;

It also includes a first data processing device, which is used to process the associated data collected at the disaster site to form the first suggested data for the injury of the wounded, and provide reference for the on-site injury classification and processing, including

The first data type identification device is used to identify the necessary parameter data of the data processing model from the associated data according to the corresponding data processing model stored in the storage device;

The first data weighting device is used to perform weighted calculation on the parameter data according to the corresponding data processing model stored in the storage device to form each weight data of the data processing model;

The first data synthesizing device is used to complete the data processing with each weight data according to the corresponding data processing model stored in the storage device to form the first suggestion data, and transmit the first suggestion data and corresponding statistical data and parameter data to the storage device device storage;

It also includes a data forwarding device, which is used to send the suggested data to the display device and the alarm device respectively through the communication port, and is used to respond to the data request outside the disaster rescue inspection and processing device, and send the suggested data and corresponding statistics Data and parameter data are read from the storage device and forwarded.

The signal processing device also includes a second data processing device, which is used to process the input data collected by the data collection device during the pre-hospital transfer and the associated data formed to form the second suggested data for the injury of the wounded, and to provide medical examination for the transferred hospital. Classification processing provides reference data, including

The second data type identification means is used to identify the necessary parameter data of the data processing model from all associated data according to the corresponding data processing model stored in the storage device;

The second data weighting device is used to perform weighting calculation on the parameter data according to the corresponding data processing model stored in the storage device to form each weight data of the data processing model;

The second data synthesizing device is used to complete the data processing with each weight data according to the corresponding data processing model stored in the storage device to form the second suggestion data, and transmit the second suggestion data and corresponding statistical data and parameter data to the storage Device save.

The signal processing device also includes a third data processing device, which is used to process the input data collected by the data collection device in the mobile hospital and the associated data formed to form the third suggested data for the injury of the wounded, which is used for triage and inspection. Classification processing provides references, including

The third data type identification means is used to identify the necessary parameter data of the data processing model from all associated data according to the corresponding data processing model stored in the storage device;

The third data weighting device is used to perform weighting calculation on the parameter data according to the corresponding data processing model stored in the storage device to form each weight data of the data processing model;

The third data synthesizing device is used to complete the data processing with each weight data according to the corresponding data processing model stored in the storage device to form the third suggestion data, and transmit the third suggestion data and corresponding statistical data and parameter data to the storage device Device save.

The first data weighting device sets a single weighted determination data for the parameter data; the second data weighting device sets a plurality of weighted determination data for the parameter data; the third data weighting device sets the weighted determination data for the parameter data A plurality of weighted determination data are respectively set for the parameter data.

In the disaster rescue and injury detection processing device of the present invention, the signal acquisition device is a hollow cylinder, and infrared temperature measuring probes arranged in 4x4 are installed on the front surface of the hollow cylinder, and a card slot is provided on the side of the cylinder for Clamp the probe of the photoelectric volumetric sensor, and connect the communication port of the signal processing device through the data line on the rear end surface of the hollow cylinder. The input device, display device, and alarm device are installed on the front surface of a flat box body. The signal processing device It is fixedly installed inside the flat box, and the communication port connected with the signal processing device is fixed on the upper surface of the flat box.

The side wall of the card slot is provided with several elastic semicircular protrusions, parallel bar magnets are installed on the inner wall of the hollow cylinder, and a metal sheet corresponding to the bar magnet is fixed on the rear end surface of the flat box. .

The distance between the four infrared temperature measuring probes located at the center of the front face of the hollow cylinder is smaller than the distance between the peripheral infrared temperature measuring probes.

The method of using the disaster rescue inspection and processing device of the present invention to collect disaster site data and inspection processing includes the following steps:

Step 101, initialize the signal acquisition device 09, and determine the rescue stage and on-site inspection method through the input device;

Step 102, selecting the corresponding data processing model and input interface data structure from the storage device;

Step 103, the objective data collection device collects data such as pulse, body temperature, blood oxygen saturation and respiratory rate through the signal collection device, the objective data collection device collects the diagnosis and treatment data obtained by other diagnostic and treatment instruments through the communication port, and the basic data collection device collects the doctor's subjective Judging the injury information of the wounded, according to the input interface data structure of the selected data processing model, forming the data and information into the associated data between the injury data of the wounded;

Step 104, transmitting the collected data and associated data to a storage device for storage;

Step 105, the first data type identification device reads the associated data from the storage device, and identifies the necessary parameter data of the data processing model;

Step 106, using the first data weighting device to perform weighted calculations on the parameter data in order to form each weight data of the data processing model;

Step 107, use the first data synthesis device to complete the data processing process of each weight data according to the processing order of the data processing model, form the first suggestion data, and transmit the first suggestion data and corresponding statistical data and parameter data to the storage device save;

Step 108, the data forwarding device reads the first suggestion data from the storage device, forms suggestion information and sends it to the display device for display, and at the same time forms different control signals according to the preset data threshold and sends them to the alarm device to form different acousto-optic alarms;

Step 109, re-initialize and prepare for data collection of the next wounded person.

It also includes the data collection and processing steps during pre-hospital transfer:

Step 201, determine the rescue stage of the corresponding wounded and the on-site inspection method adopted by the input device;

Step 202, selecting the corresponding data processing model and input interface data structure from the storage device;

Step 203, the objective data collection device collects the diagnosis and treatment data obtained by other diagnosis and treatment instruments through the communication port, and the basic data collection device collects the wounded injury information obtained by the doctor's subjective judgment, and according to the input interface data structure of the selected data processing model, the described The data and information form the associated data between the wounded data;

Step 204, transmitting the collected data and associated data to a storage device for storage;

Step 205, the second data type identifying means reads all associated data from the storage means, and identifies the necessary parameter data of the data processing model;

Step 206, using the second data weighting device to perform weighting calculations on the parameter data respectively to form weight data of the data processing model;

Step 207, using the second data synthesizing device to complete data processing on each weight data to form second suggestion data, and transmit the second suggestion data and corresponding statistical data and parameter data to the storage device for storage;

Step 208, the data forwarding device reads the second suggestion data from the storage device, forms suggestion information and sends it to the display device for display, and at the same time forms different control signals according to the preset data threshold value and sends it to the alarm device to form different acousto-optic alarms;

Step 209, re-initialize and prepare for data collection of the next wounded person.

It also includes the data collection and processing steps of the mobile hospital:

Step 301, determine the rescue stage and the on-site inspection method adopted by the input device;

Step 302, selecting the corresponding data processing model and input interface data structure from the storage device;

Step 303, the objective data collection device collects the diagnosis and treatment data obtained by other diagnosis and treatment instruments through the communication port, the basic data collection device collects the wounded injury information obtained by the doctor's subjective judgment, and according to the input interface data structure of the selected data processing model, the described The data and information form the associated data between the wounded data;

Step 304, transmitting the collected data and associated data to a storage device for storage;

Step 305, the third data type identifying means reads all associated data from the storage means, and identifies the necessary parameter data of the data processing model;

Step 306, using a third data weighting device to perform weighting calculations on the parameter data respectively to form weight data of the data processing model;

Step 307, using the third data synthesizing device to complete data processing on each weight data to form third suggested data, and transmit the third suggested data and corresponding statistical data and parameter data to the storage device for storage;

Step 308, the data forwarding device reads the third suggestion data from the storage device, forms suggestion information and sends it to the display device for display, and at the same time forms different control signals according to the preset data threshold and sends it to the alarm device to form different acousto-optic alarms;

Step 309, re-initialize and prepare for data collection of the next wounded person.

Utilizing the disaster rescue inspection and processing device of the present invention can realize rapid and real-time collection of key sign data of a large number of wounded at the disaster site, shorten the time of data collection, improve the inspection and judgment speed of ambulance personnel, and win the rescue for the critically wounded time. The data of each individual's physical signs are strongly correlated, and the data is accurate and reliable. According to the degree of injury of the wounded, prompt information and warning signals are given in time to avoid misjudgment or missed diagnosis.

The disaster rescue trauma detection processing device of the present invention can realize the effective storage of diagnosis data, first aid time, first aid measures and first aid effects from the disaster scene, or transfer or mobile hospital rescue in front of the hospital, and the entire rescue process, and complete the trauma check list The real-time storage of the three parts of information, first aid measures and outcome methods, ensures real-time and accurate rescue data for each wounded and sick person, the rescue process is consistent, and the recorded data has reliable timeliness, avoiding repeated injury inspections during the rescue process . Utilizing the disaster rescue inspection and processing device of the present invention can complete the classification of one or several rescue stages according to the degree of disaster damage, and realizes the flexible application of the disaster rescue inspection and processing device, and the input setting of the input interface data structure is simplified. It improves the data collection and association process of each testing equipment, and improves the data transmission efficiency and compatibility with various testing equipment.

The disaster rescue and wound detection processing device of the present invention can transmit the collected wounded and sick information to the upper-level rescue organization in time through the information network. The higher-level rescue organization can understand the basic situation of the wounded and sick in advance before the wounded and sick arrive, and make targeted treatment preparations, especially in the rescue of critically ill wounded and sick. The earthquake disaster rescue command department can keep abreast of the occurrence and treatment of the wounded at the scene through the treatment agencies at all levels, making rescue decisions more timely and effective.

The disaster rescue inspection and processing device of the present invention will be further described below in conjunction with the accompanying drawings.

Description of drawings

Fig. 1 is a connection schematic diagram of the disaster rescue inspection and processing device of the present invention;

Fig. 2 is a structural schematic diagram of the disaster rescue inspection and processing device of the present invention;

Fig. 3 is a flow chart of using the disaster rescue medical examination processing device of the present invention to collect and process the medical examination data of the sick and wounded at the disaster site;

Fig. 4 is a flow chart of collecting and processing the medical examination data of the sick and wounded during the pre-hospital transfer using the disaster rescue medical examination processing device of the present invention;

Fig. 5 is a flow chart of using the disaster rescue medical examination processing device of the present invention to collect and process wounded and sick medical examination data in a mobile hospital;

Fig. 6 is a schematic diagram of the START triage method;

Fig. 7 is a schematic diagram of Triage Sieve injury classification method;

Figure 8 is a schematic diagram of the Care Flight triage method.

Detailed ways

At the disaster site, the judgment of the injuries of a large number of wounded in a dangerous environment must be completed first, and the key physical data of each wounded needs to be collected quickly.

As shown in FIG. 1 , the disaster rescue inspection and processing device of the present invention is composed of a signal acquisition device 09 , an input device 12 , an alarm device 10 , a display device 11 and a signal processing device. The input device 12, the alarm device 10 and the display device 11 are respectively connected to the signal processing device through communication ports. The warning device 10 includes a loudspeaker and an LED display screen, and sends an audible and visual alarm according to the sound and light signal sent by the signal processing device. The transmitted data is processed.

The signal acquisition device 09 is a hollow cylinder, and the infrared temperature measuring probe 08 arranged in a 4x4 arrangement is installed on the front surface of the hollow cylinder. The data line on the rear end face of the cylinder is connected to the communication port of the signal processing device.

A PLC circuit module is fixedly installed in the hollow cylinder, the infrared temperature measuring probe 08 is respectively connected to the corresponding signal input terminal of the PLC circuit module, and the photoelectric volume sensor probe 07 is connected to the corresponding signal input terminal of the PLC circuit module. The signal line of the photoelectric volume sensor probe 07 passes through the through hole at the bottom of the card slot 07a, and is wound on the take-up wheel fixedly installed in the hollow cylinder before connecting the corresponding signal input end of the PLC circuit module. After being taken out of the card slot 07a, the take-up wheel is stressed. When the photoelectric volume sensor probe 07 is released, the take-up wheel rotates to wind the signal line on the take-up wheel to avoid entanglement of the signal line.

Several elastic semicircular protrusions are provided on the side wall of the card slot 07a to ensure the stability of clamping the photocapacitance sensor probe 07 . Parallel bar magnets 09a are installed on the inner wall of the hollow cylinder.

The display device 11, the alarm device 10 and the input device 12 are installed on the front surface of a flat box body, the connecting interface of the communication port is fixed on the upper end surface of the flat box body, and the signal processing device is fixedly installed inside the flat box body.

A thin metal plate corresponding to the bar magnet 09a is fixed on the rear end surface of the flat box body.

The photoelectric volumetric sensor probe 07 can collect the blood flow change signal of the capillary in the body when the heart compresses and relaxes by being clamped on the limb end of the wounded, which is converted into the pulse signal of the wounded by the PLC circuit in the signal collecting device 09.

The infrared temperature measuring probe 08 can detect the infrared signal radiated by objects within the pointing range, and can convert the infrared characteristic signal of the wounded body surface into the temperature signal of the wounded through the PLC circuit in the signal acquisition device 09 .

Using the infrared temperature measuring probe 08 arranged in 4x4, the infrared signals radiated from different positions of the same object can be collected at the same time, and after the signal processing of the PLC circuit in the signal collection device 09, the infrared radiation characteristics of the wounded's mouth and nose can be described It is collected from the infrared background radiation of the whole torso, and converted into the respiratory frequency and respiratory intensity signals of the wounded through the PLC circuit in the signal acquisition device 09 . The infrared temperature probe 08 can also pick up the infrared features of the wounded's torso from the background, and quickly determine the wounded who can move slightly from the disaster scene. The distance between the four infrared temperature-measuring probes 08 at the center is smaller than the distance between the adjacent infrared temperature-measuring probes 08 on the periphery, so that the infrared temperature-measuring probes 08 can ensure both the collection range and the collection accuracy when collecting signals.

In the non-use state, the photocapacitance sensor probe 07 is clamped and fixed in the card slot 07a, and the flat box body and the hollow cylinder are fixed together by the strip magnet 09a, which is easy to carry and not easy to lose.

At the disaster scene, due to the poor rescue environment and the large number of wounded, using the disaster rescue inspection and processing device of the present invention can quickly complete the collection and processing of key physical sign data of the wounded.

First, the signal processing device of the present invention initializes the signal acquisition device 09, and starts signal acquisition;

Then the photoelectric volume sensor probe 07 of the signal acquisition device 09 is clamped on the exposed part of the trunk of the wounded, and the pulse and blood oxygen saturation of the wounded are collected;

Point the infrared temperature probe 08 of the signal acquisition device 09 at the head, mouth and nose of the wounded, and collect the wounded's trunk response, trunk temperature, breathing rate and breathing intensity;

The signal processing device receives the collected data, compares it with the preset value in the signal processing device, gives the suggested data for rescue and displays it on the display device 11;

When the collected key sign data obviously deviates from the preset value, the signal processing device sends a corresponding warning signal to the warning device 10, and the warning device 10 sends out different sound and light warnings to warn the ambulance personnel to pay attention.

Using the disaster rescue inspection and processing device of the present invention, the pulse and blood oxygen saturation of the wounded can be collected within a few seconds, and the respiratory rate and breathing intensity of the wounded can be collected within ten seconds, and the main vital signs of a wounded can be completed. The data collection and signal processing only takes tens of seconds, which can quickly realize the collection of a large number of wounded signs data.

When an actual disaster occurs, according to the type of disaster, the specific degree of damage, and the severity of the damage caused, the specific rescue methods will be emphasized, and there will be corresponding rescue equipment and diagnosis for the wounded and sick for different types of disasters method, it is necessary to record various inspection results and diagnosis results in time to ensure the authenticity and reliability of real-time diagnosis and treatment information. This requires the recording of various wounded injury information in accordance with the rescue procedures of different rescue stages to form formatted standard data to ensure the continuity and validity of the data, so that the data can maintain timeliness and consistency when forwarded between systems. And the diagnosis and treatment data can be processed according to the data processing model formed by the rescue program, and the result data with the nature of reference and suggestion for medical personnel can be formed, so as to prevent medical personnel from making wrong judgments due to environmental interference in dangerous environments.

As shown in Fig. 2, in the disaster rescue and wound detection processing device of the present invention, the signal processing device includes a storage device 01 for storing input data and collected data, including three rescue operations at the scene of a disaster, during pre-hospital transfer, and in a mobile hospital. In the phase, the data of the 3 parts of medical examination information, first aid measures, and outcome methods. Disaster on-site triage information is the summary information of the wounded and sick, including triage frequency, casualty number, name, triage time, manual triage classification method, triage classification result, first aid time, first aid measures, outcome time, outcome, Information data such as the method of outcome and whereabouts of outcome. First aid measures include oxygen inhalation, intubation, cardiopulmonary resuscitation, peripheral access, hemostasis, bandaging, spine board, cervical splint, limb splint, total infusion volume and other information data for the wounded and sick. The outcome method includes information data such as time, outcome, method, and whereabouts. The triage information during the pre-hospital transfer of the wounded includes checking the frequency of on-site triage, casualty number, name, time of triage, on-site triage classification method, triage score, first aid time, first aid measures, outcome time, outcome, transfer Return methods, whereabouts and other data. First aid measures include real-time collection of data such as oxygen inhalation, intubation, cardiopulmonary resuscitation, peripheral access, hemostasis, bandages, spine boards, cervical splints, limb splints, and total infusion volume for the wounded and sick during transfer. The outcome method includes the check of the time, outcome, method, and destination of the outcome in the previous step, and the time, outcome, method, and whereabouts of the outcome in this stage. The information on the medical examination of the wounded arriving at the mobile hospital includes checking the frequency of the medical examination during the pre-hospital transfer, the number of the wounded, the name, the time of the medical examination, the method of the medical examination in the hospital, the score of the medical examination, the time of diagnosis and treatment, the diagnosis, the measures of diagnosis and treatment, the time of outcome, and the outcome. , return method, return destination and other data. First aid measures Increased blood routine, urine routine, stool routine, blood gas analysis, X-ray, B-ultrasound examination data of individual wounded and sick, first aid measures include oxygen inhalation, intubation, cardiopulmonary resuscitation, electrical defibrillation, central channel, peripheral Channel, catheterization, gastric tube, chest drainage, abdominal drainage, spine board, cervical splint, limb splint, surgery, total infusion volume and other real-time data collection. The outcome method includes the check of the time, outcome, method, and destination of the outcome in the previous step, and the time, outcome, method, and whereabouts of the outcome in this stage.

The storage device 01 is also used to store the associated data between the input data, store the basic configuration data of each device in the disaster rescue and inspection processing device and the parameter data of the data processing model of each device, and store the data processing process of each device Intermediate data in , storing the input interface data structure used to format the input data.

The signal processing device also includes a data acquisition device 02, which is used to convert the wounded injury data collected by the disaster rescue site through the acquisition device 09, various detection instruments, intuitive judgment methods and indirect detection methods into a standard data format, and transmit Stored in the storage device 01 and used to receive the setting data of each device, including the objective data collection device 021, which is used in different data collection stages, according to the input interface data structure of the data processing model in the storage device 01, the collection device 09. Convert the input data collected by various detection instruments into formatted structural data, form the associated data among the wounded data, and transmit it to the storage device 01 for storage; it also includes a basic data collection device 022 for receiving all Describe the basic setting data of the disaster rescue inspection and processing device, each data processing model, and the parameter data of each data processing model, and receive the input data of the wounded condition collected by the intuitive judgment method and the indirect detection method through the input device 12, The associated data among the injury data of the wounded is formed and sent to the storage device 01 for storage.

The signal processing device also includes a first data processing device 03, which is used to process the associated data collected at the disaster scene to form the first suggested data for the injury of the wounded, and provide reference for the on-site injury classification processing, including the first data type The identification device 031 is used to identify the necessary parameter data of the data processing model from the associated data according to the corresponding data processing model stored in the storage device 01; it also includes a first data weighting device 032, which is used to Corresponding to the data processing model, performing weighted calculations on the order of the parameter data to form the weight data of the data processing model; also including a first data synthesis device 033, used for using the weight data according to the corresponding data processing model stored in the storage device 01 After the data processing is completed, the first suggestion data is formed, and the first suggestion data and corresponding statistical data and parameter data are transmitted to the storage device 01 for storage.

The signal processing device also includes a second data processing device 04, which is used to process the input data collected by the data collection device 02 during the pre-hospital transfer and the associated data formed to form the second suggested data for the injury condition of the wounded, and to provide medical examination for the transferred hospital. The classification process provides reference data, which includes a second data type identifying means 041, which is used to identify the necessary parameter data of the data processing model from all associated data according to the corresponding data processing model stored in the storage device 01; The data weighting device 042 is used to perform weighting calculation on the parameter data according to the corresponding data processing model stored in the storage device 01 to form each weight data of the data processing model; it also includes a second data synthesis device 043 for storing The corresponding data processing model stored in the device 01 uses the weight data to complete the data processing to form the second suggestion data, and transmits the second suggestion data and corresponding statistical data and parameter data to the storage device 01 for storage.

The signal processing device also includes a third data processing device 05, which is used to process the input data collected by the data collection device 02 in the mobile hospital and the associated data formed to form the third suggested data for the injury condition of the wounded, which is used for triage and inspection. Classification processing provides reference, which includes a third data type identification means 051, which is used to identify the necessary parameter data of the data processing model from all associated data according to the corresponding data processing model stored in the storage device 01; also includes the third data type The weighting device 052 is used to perform weighted calculations on the parameter data according to the corresponding data processing model stored in the storage device 01 to form each weight data of the data processing model; it also includes a third data synthesis device 053 for The corresponding data processing model stored in 01 uses each weight data to complete data processing to form the third suggestion data, and transmits the third suggestion data and corresponding statistical data and parameter data to the storage device 01 for storage.

The signal processing device also includes a data forwarding device 06, which is used to send the suggested data to the display device 11 and the alarm device 10 respectively through the communication port, and is used to respond to the data request outside the disaster rescue inspection and processing device, and send the suggested data to the display device 11 and the alarm device 10 respectively. The suggested data and corresponding statistical data and parameter data are read from the storage device 01 and forwarded.

The data collected in the rescue procedures for different rescue stages are processed by different data processing devices, so that the disaster rescue inspection and processing device of the present invention has strong adaptability to medical rescue programs with different types of disasters and different degrees of harm.

At the disaster site, due to the dangerous environment and the difficulty of information collection, the rescue process needs to make timely judgments. Therefore, the data processing model formed according to the rescue process needs to make clear judgments on the obtained parameter data one by one, form processing results, and quickly provide reference data or information. Therefore, the first data weighting device 032 respectively sets single weighted judgment data for the processed parameter data to form true/false judgment conditions in the data processing process, and quickly completes the data processing process.

The rescue procedures in the pre-hospital transfer and in the mobile hospital are relatively comprehensive, and the data processing model formed according to the rescue process can analyze some parameter data in detail, so the second data weighting device 042 and the third data weighting device 052 Multiple weighted determination data are set for parameter data, and several weighted determination intervals are set for each parameter data to form more detailed weight data and increase the accuracy of data processing results.

The data acquisition device 02 receives the input signal of the input keyboard and the acquisition device 09 through the communication port (USB interface), and the objective data acquisition device 021 receives the input signal of the acquisition device 09 and the data collected by other medical instruments; the basic data acquisition device 022 receives the input signal The input data collected by the device can realize rapid collection of objective parameter data and subjective parameter data necessary for the data processing model of the first data processing device 03 at the disaster site, realize continuous collection of associated data within a short period of time, and enhance data reliability , to eliminate various interference signals in the dangerous environment as much as possible.

The signal acquisition device 09 connected to the data acquisition device 02 can enable the disaster rescue inspection and processing device of the present invention to quickly and accurately collect real-time data and form necessary related data in real time under the complex rescue environment on the spot, so as to speed up the utilization of corresponding data by the first data processing device 03. The data processing speed of the data processing model provides timely reference and suggestion data for doctors to make accurate judgments.

The data forwarding device 06 is connected with the display device 11 and the alarm device 10 through the communication port. The display device 11 can provide emergency personnel with the display of reference data and suggestion information of each suggestion data. The alarm device 10 sends out a specific combination of sound and light signals according to the control signals sent by the data forwarding device 06 according to different suggestion data.

As shown in Figure 3, the steps of using the disaster rescue inspection and processing device of the present invention to collect information on the inspection of the sick and wounded at the disaster site and to perform data inspection and processing on the data include:

Step 101, initialize the signal acquisition device 09, and determine the rescue stage and the field inspection method adopted through the input device 12;

Step 102, selecting the corresponding data processing model and input interface data structure from the storage device 01;

Step 103, the objective data collection device 021 collects data such as pulse, body temperature, blood oxygen saturation and respiratory rate through the signal collection device 9, and the objective data collection device 021 collects the diagnosis and treatment data obtained by other diagnosis and treatment instruments through the communication port, and the basic data collection device 022 Collecting the wounded injury information obtained by the doctor's subjective judgment, and forming the data and information into the associated data between the wounded injury data according to the input interface data structure of the selected data processing model;

Step 104, transmit the collected data and associated data to the storage device 01 for storage;

Step 105, the first data type identifying means 031 reads the associated data from the storage means 01, and identifies the necessary parameter data of the data processing model;

Step 106, using the first data weighting device 032 to carry out weighted calculations on the order of the parameter data to form each weight data of the data processing model;

Step 107, use the first data synthesis device 033 to complete the data processing process of each weight data according to the processing order of the data processing model, form the first suggestion data, and transmit the first suggestion data and corresponding statistical data and parameter data to the storage Save device 01;

Step 108, the data forwarding device 06 reads the first suggestion data from the storage device 01, forms suggestion information and sends it to the display device 11 for display, and at the same time forms different control signals according to the preset data threshold and sends them to the alarm device 10 to form different Sound and light alarm;

Step 109, re-initialize and prepare for data collection of the next wounded person.

As shown in Figure 4, the steps of using the disaster rescue morbidity detection processing device of the present invention to collect and process data morbidity data for the sick and wounded during the pre-hospital transfer include:

Step 201, initialization, through the input device 12 to determine the rescue stage of the corresponding wounded and the on-site inspection method adopted;

Step 202, selecting the corresponding data processing model and input interface data structure from the storage device 01;

Step 203, the objective data collection device 021 collects the diagnosis and treatment data obtained by other diagnosis and treatment instruments through the communication port, and the basic data collection device 022 collects the wounded injury information obtained by the doctor's subjective judgment, and according to the input interface data structure of the selected data processing model, the The data and information form the associated data among the injury data of the wounded;

Step 204, transmit the collected data and associated data to the storage device 01 for storage;

Step 205, the second data type identifying means 041 reads all associated data from the storage means 01, and identifies the necessary parameter data of the data processing model;

Step 206, using the second data weighting device 042 to perform weighting calculations on the parameter data respectively to form weight data of the data processing model;

Step 207, using the second data synthesizing device 043 to complete data processing on each weight data to form second suggestion data, and transmit the second suggestion data and corresponding statistical data and parameter data to the storage device 01 for storage;

Step 208, the data forwarding device 06 reads the second suggestion data from the storage device 01, forms suggestion information and sends it to the display device 11 for display, and at the same time forms different control signals according to the preset data threshold and sends them to the alarm device 10 to form different Sound and light alarm;

Step 209, re-initialize and prepare for data collection of the next wounded person.

As shown in Fig. 5, the steps of using the disaster rescue medical examination processing device of the present invention to collect the medical examination data of the sick and wounded and to process the data medical examination in the mobile hospital include:

Step 301, initialization, through the input device 12 to determine the rescue stage of the corresponding wounded and the on-site inspection method adopted;

Step 302, selecting the corresponding data processing model and input interface data structure from the storage device 01;

Step 303, the objective data collection device 021 collects the diagnosis and treatment data obtained by other diagnosis and treatment instruments through the communication port, and the basic data collection device 022 collects the wounded injury information obtained by the doctor's subjective judgment, and according to the input interface data structure of the selected data processing model, the The data and information form the associated data among the injury data of the wounded;

Step 304, transferring the collected data and associated data to the storage device 01 for storage;

Step 305, the third data type identifying means 051 reads all associated data from the storage means 01, and identifies the necessary parameter data of the data processing model;

Step 306, using the third data weighting device 052 to perform weighting calculations on the parameter data respectively to form weight data of the data processing model;

Step 307, using the third data synthesizing device 053 to complete data processing on each weight data to form third suggestion data, and transmit the third suggestion data and corresponding statistical data and parameter data to the storage device 01 for storage;

Step 308, the data forwarding device 06 reads the third suggestion data from the storage device 01, forms suggestion information and sends it to the display device 11 for display, and at the same time forms different control signals according to the preset data threshold and sends them to the alarm device 10 to form different Sound and light alarm;

Step 309, re-initialize and prepare for data collection of the next wounded person.

In different disaster rescues, different equipment, objective or subjective judgment methods will be used in different stages of triage and different types of injuries, and the first aid process will be accompanied by the same time. The entire rescue process includes a large amount of quantifiable or non-quantifiable information. Therefore, according to the main emergency medical examination methods in medical rescue, a corresponding medical examination data processing model is formed, and an input interface for collecting necessary medical examination data from a large amount of on-site information is provided. Data structure to standardize the data collected manually or by equipment, and form associated data for the wounded and sick.

Corresponding to the classification methods used in disaster sites, pre-hospital transfers, and mobile hospitals, a corresponding data processing model is established. The data processing model applied to the first data processing device 03 is mainly based on the START triage method, the TriageSieve triage method and the Care Flight triage method.

As shown in Figure 6, the necessary parameter data of the START triage method includes quantified walking ability, breathing ability, respiratory rate, pulse rate, state of consciousness, etc., forming true/false judgment conditions, which are judged step by step in order.

As shown in Figure 7, the necessary parameter data of the Triage Sieve classification method includes quantified walking ability, breathing ability, respiratory rate, capillary filling degree, etc., forming true/false judgment conditions, which are judged step by step in order.

As shown in Figure 8, the necessary parameter data of the Care Flight triage classification method includes quantified walking ability, state of consciousness, respiratory state, radial artery pulse, etc., forming true/false judgment conditions, which are judged step by step in order.

According to the data processing model, the first data type identification means 031 identifies the necessary parameter data of the data processing model from the associated data stored in the storage means 01, and the first data weighting means 032 sets the weighted determination of each parameter data according to the selected data processing model Sequence and weighted judgment data, the first data synthesis device 033 completes the judgment and selection process with the weighted judgment data of each parameter data according to the order of the data processing model, generates the first suggestion data and displays it on the display device 06a, that is, the priority level of implementing rescue measures , priority 1 is the highest, or a suggestion to terminate the rescue is given based on the data results.

The data processing models applied to the second data processing device 04 include GCS model, RTS model, CRAMS model, PHI model and PTS scoring model.

The Glasgow coma scale (GCS) is a head injury classification method proposed by Teasdale et al. in 1974. It is mainly evaluated based on the scores of motor response, speech response and eye opening response. The total score is 15, and the lower the score, the lower the injury. heavier. The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows:

The revised trauma score (RTS), which is a simplification and improvement of the TS, with added weight to the GCS. RTS cancels the two indicators of capillary filling and respiratory amplitude in TS. Because these two indicators are difficult to confirm when observing on the spot, and it is even more difficult at night.

The lower the RTS score, the more severe the injury. The total score of RTS is 0-12 points. Patients with a score of less than 11 are usually sent to a trauma center. It was also suggested that on-site triage does not need to add up the scores, but only treat patients with any of the following criteria as serious patients and send them to the trauma center. The conditions are: GCS<13, systolic blood pressure less than 90mmHg, respiratory rate greater than 29 or less than 10. In addition, RTS is also superior to TS in the reliability of outcome prediction, and the outcome estimation of head injury patients is also more accurate. The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows:

Parameter data 4 points 3 points 2 minutes 1 point 0 marks GCS 13～15 9～12 6～8 4～5 3 systolic blood pressure (mmHg) ＞89 76～89 50～75 1～49 0 breathe 10～29 ＞29 6～9 1～5 0

CRAMS is composed of the acronym of the first English letter of five words: circulation, respiration, abdomen (including chest), movement (motor) and speech (speech). Each indicator has a score of 0, 1, or 2. Finally, the scores of the five indicators are added together to obtain the total score of CRAMS. The total score is greater than or equal to 9 points as a minor injury; less than or equal to 8 points as a serious injury; less than or equal to 6 points as a very serious injury. Patients with scores below 8 are usually sent to a trauma center. The more severe the injury, the lower the score. The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows:

The prehospital index (PHI) is based on four physiological indicators of systolic blood pressure, pulse, respiration, and consciousness. Each indicator is scored from 0 to 5 points, and the highest total score is 24. The more severe the injury, the higher the score. A total score of 0-3 is considered a minor injury, and 4-20 is considered a serious injury. If the casualty has a penetrating chest or abdominal injury, add 4 to the total score. PHI is a simple and easy prehospital classification method. The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows:

Because the physiological and anatomical characteristics of children are different from those of adults, the pediatric trauma score (pediatric trauma score, PTS) mainly observes 6 indicators, with a total score of 12 points. The more severe the injury, the lower the score and the higher the mortality rate. The critical score is 8, and children with a score lower than 8 should be sent to a trauma center for treatment. This method is reliable and can prompt the relationship between injury severity and mortality. The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows:

EIT: esophageal-airway ventilation; EOA: obstructed esophageal ventilation.

According to the data processing model, the second data type identifying means 041 identifies the necessary parameter data of the selected data processing model from all associated data stored in the storage means 01, and the second data weighting means 042 sets each parameter data according to the selected data processing model The second data synthesizing means 043 adds the weighted determination data of each parameter data according to the data processing model or completes the corresponding data processing process to generate second suggestion data to be displayed on the display device 06a.

The data processing model applied to the third data processing device 05 includes the APACHE II model.

Acute Physiological and Previous Health Evaluation Program for ICU patients, referred to as APACHE. Currently APACHEII scoring scheme. The weighted judgment data score ranges from 0 to 71, generally below 55, and the higher the score, the higher the mortality rate. Generally, the APACHE II score ≥ 16 is used as the standard for ICU admission. The APACHEII scores for different injuries are: mild and moderate injuries ≤10, severe injuries 11-17, and severe injuries ≥18. The total score value of the APACHEII scoring system is: Form A + Form B + Form C + Form D.

The specific quantified model parameter data and the weighted judgment data of each parameter data are shown in Table A below:

age ≤44 is judged as 0; 45-54 is judged as 2; 55-64 is judged as 3; 65-7 is judged as 4≥5

The specific quantified model parameter data and the weighted judgment data of each parameter data are shown in Table B:

The specific quantified model parameter data and the weighted judgment data of each parameter data are shown in Table C:

The specific quantified model parameter data and the weighted judgment data of each parameter data are as follows in Table D:

Note:

1. Data collection should be the worst value within 24 hours after the patient enters the ICU or the start of rescue.

2. "Inoperable" in item B should be understood as those who cannot receive surgical treatment due to the critical condition of the patient.

3. Severe organ dysfunction refers to: ① Heart: cardiac function grade IV; ② Lung: chronic hypoxia, obstructive or restrictive ventilatory disorder, poor exercise tolerance; ③ Kidney: chronic permeation; ④ Liver: cirrhosis, portal Hypertension, history of upper gastrointestinal bleeding, hepatic coma, and liver failure.

4. Immune impairment: such as receiving radiotherapy, chemotherapy, long-term or massive hormone therapy, leukemia, lymphoma, AIDS, etc.

5. The blood pressure value in item D should be mean arterial pressure = (systolic blood pressure + 2 * diastolic blood pressure) / 3, if there is direct arterial pressure monitoring, record the direct arterial pressure.

6. Breathing rate The patient's spontaneous breathing rate should be recorded.

7. If the patient has acute renal failure, the score of serum creatinine should be doubled on the original basis (*2)

8. When the unit of serum creatinine is μmol/L, the corresponding value to mg/dL is as follows:

mg/dL 3.5 2-3.4 1.5-1.9 0.6-1.4 0.6

μmol/L 305 172-304 128-171 53-127 53

According to the data processing model, the third data type identification means 051 identifies the necessary parameter data of the selected data processing model from all the associated data stored in the storage means 01, and the third data weighting means 052 sets each parameter data according to the selected data processing model The third data synthesizing means 053 adds the weighted determination data of each parameter data according to the data processing model or completes the corresponding data processing process, and generates third suggestion data to be displayed on the display device 06a.

In the disaster rescue inspection and treatment device of the present invention, the inspection and classification run through the various links of the earthquake disaster site, transfer, and hospital treatment. It needs to be carried out in an uninterrupted cycle. According to the changes of the sick and wounded, the classification level is modified to save as many lives as possible. . Due to the sequential nature of triage, different stages require different triage methods. For example, at the scene of an emergency, it is easy to adopt the highly sensitive START or similar manual injury classification method to pick out the critically injured in the shortest time; PHI and other methods of injury classification can further understand the changes in the condition of the wounded; when arriving at a treatment institution, such as a nearby hospital, there are too many wounded due to emergencies and medical resources are limited, further in-hospital injury classification is still required, and high accuracy can be adopted. Classification of the damage detection method. The disaster rescue triage processing device and data processing method of the present invention provide a carrier and different triage classification methods at each stage for the whole process of triage classification of the wounded and sick, objectively understand the critical condition of the wounded and the development of the injury, and assist medical personnel Carry out rapid classification of the wounded and formulate a treatment plan.

The above-mentioned embodiments are only descriptions of preferred implementations of the present invention, and are not intended to limit the scope of the present invention. Variations and improvements should fall within the scope of protection defined by the claims of the present invention.

Claims (7)

1. blood processor is hindered in disaster assistance inspection, by input equipment (12), display device (11), alarm device (10), signal pickup assembly (9), COM1 and signal processing apparatus composition, the data that arrange of blood processor are hindered in input equipment (12) for inputting described disaster assistance inspection, display device (11) is for the result of display signal processing apparatus, alarm device (10) is for receiving the control signal of signal processing apparatus, send audible and visual alarm, signal pickup assembly (9) is for gathering the disaster field wounded's sign data, signal processing apparatus by COM1 respectively with input equipment (12), display device (11), alarm device (10) is connected with signal pickup assembly (9), it is characterized in that: described signal processing apparatus comprises

Storage device (01), for storing the input data that gather by input data and the sensor assembly of COM1, store the associated data between described input data, store the supplemental characteristic that the basic configuration data of each device and the data processing model of each device in blood processor are hindered in the inspection of described disaster assistance, store the intermediate data in each device data handling procedure, storage is for formaing the input interface data structure of input data;

Data acquisition unit (02), be converted to the data format of standard for wounded's traumatic condition data that disaster assistance scene is collected by described sensor assembly, various detecting instrument, be sent to storage device (01) and preserve, and for receiving the setting data of each device, comprising

Objective data harvester (021), be used in different data acquisition phase, according to the input interface data structure of data processing model in storage device (01), the input data of harvester (09), various detecting instrument collections are converted to the structured data of format, form the associated data between described wounded's traumatic condition data, and be sent to storage device (01) preservation;

Master data harvester (022), hinder the basic setting data of blood processor for receiving described disaster assistance inspection, and each data processing model, and the supplemental characteristic of each data processing model, the input data of the wounded's traumatic condition collecting by input equipment (12) reception intuitive judgment method and Indirect Detecting Method, form the associated data between described wounded's traumatic condition data, and be sent to storage device (01) preservation;

Also comprise the first data processing equipment (03), for the associated data of disaster field collection is processed, form the first suggestion data for wounded's traumatic condition, process reference is provided for the classification of scene inspection wound, comprising

The first data type recognition device (031) for according to the corresponding data transaction module of storage device (01) storage, identifies the necessary supplemental characteristic of described data processing model from associated data;

The first data weighting device (032), for according to the corresponding data transaction module of storage device (01) storage, is weighted described supplemental characteristic order, forms each weight data of data processing model;

The first data synthesis device (033), for the corresponding data transaction module of storing according to storage device (01), utilize each weight data to complete date processing, form the first suggestion data, and the first suggestion data and corresponding each statistical data and supplemental characteristic are sent to storage device (01) preserve;

Also comprise data forwarding device (06), for described suggestion data are sent to respectively to display device (11) and alarm device (10) by COM1, hinder the request of data outside blood processor for responding described disaster assistance inspection, described suggestion data and corresponding statistical data and supplemental characteristic are read from storage device (01), and forward.

2. blood processor is hindered in disaster assistance inspection according to claim 1, it is characterized in that: described signal processing apparatus also comprises the second data processing equipment (04), process for the input data in transit data acquisition unit (02) gathers before institute and the associated data of formation, form the second suggestion data for wounded's traumatic condition, process reference data is provided for the inspection wound classification of transferring from one hospital to another, comprising

The second data type recognition device (041) for according to the corresponding data transaction module of storage device (01) storage, identifies the necessary supplemental characteristic of described data processing model from all associated datas;

The second data weighting device (042), for according to the corresponding data transaction module of storage device (01) storage, is weighted respectively described supplemental characteristic, forms each weight data of data processing model;

The second data synthesis device (043), for the corresponding data transaction module of storing according to storage device (01), utilize each weight data to complete date processing, form the second suggestion data, and the second suggestion data and corresponding each statistical data and supplemental characteristic are sent to storage device (01) preserve.

3. blood processor is hindered in disaster assistance inspection according to claim 2, it is characterized in that: described signal processing apparatus also comprises the 3rd data processing equipment (05), process for the input data to mobile hospital data acquisition unit (02) collection and the associated data of formation, form the 3rd suggestion data for wounded's traumatic condition, process reference is provided for point examining the classification of inspection wound, comprising

The 3rd data type recognition device (051) for according to the corresponding data transaction module of storage device (01) storage, identifies the necessary supplemental characteristic of described data processing model from all associated datas;

The 3rd data weighting device (052), for according to the corresponding data transaction module of storage device (01) storage, is weighted respectively described supplemental characteristic, forms each weight data of data processing model;

The 3rd data synthesis device (053), for the corresponding data transaction module of storing according to storage device (01), utilize each weight data to complete date processing, form the 3rd suggestion data, and advise that by the 3rd data and corresponding each statistical data and supplemental characteristic are sent to storage device (01) and preserve.

4. blood processor is hindered in disaster assistance inspection according to claim 3, it is characterized in that: described the first data weighting device (032) is set respectively single weighting decision data to described supplemental characteristic; Described the second data weighting device (042) is set respectively multiple weighting decision data to described supplemental characteristic; Described the 3rd data weighting device (052) is set respectively multiple weighting decision data to described supplemental characteristic.

5. blood processor is hindered in the disaster assistance inspection as described in as arbitrary in claim 1 to 4, it is characterized in that: described signal pickup assembly (9) is a hollow cylinder, the infrared temperature probe (08) that 4x4 arranges is installed on hollow cylinder front end face, the side of cylinder is provided with draw-in groove (07a), be used for clamping photoelectricity volume sensor probe (07), connect the COM1 of signal processing apparatus by the data wire on hollow cylinder rear end face, described input equipment (12), display device (11), alarm device (10) is arranged on a flat case front end face, described signal processing apparatus is fixedly mounted on flat case inside, the COM1 being connected with described signal processing apparatus is fixed on the upper surface of flat case.

6. blood processor is hindered in disaster assistance inspection as claimed in claim 5, it is characterized in that: the sidewall of described draw-in groove (07a) is provided with several elasticity semicircular projections, parallel bar magnet (09a) is installed on described hollow cylinder inwall, on the rear end face of described flat case, is fixed with the sheet metal corresponding with bar magnet (09a).

7. blood processor is hindered in disaster assistance as claimed in claim 6 inspection, it is characterized in that: be positioned at that distance between four infrared temperature probes (08) of described hollow cylinder front end face center is less than and peripheral infrared temperature probe (08) between distance.

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