An intelligent triage glove for emergency rescue at disaster sites

Abstract

The present invention provides an intelligent triage glove for emergency rescue at disaster sites. It integrates Internet of Things sensing, digital signal processing, and intelligent computing technologies to achieve efficient collection of vital signs and injury classification of casualties. Compared with traditional manual triage technology, the present invention significantly improves triage efficiency while ensuring accuracy, thus buying more time for the rescue and transfer of casualties.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent emergency rescue, and in particular relates to an intelligent triage glove for emergency rescue at disaster sites. Background Art

[0002] Triage is a core component of emergency rescue at disaster sites. By monitoring the victim's vital signs and determining the priority of first aid, it significantly improves on-site rescue efficiency. Traditional triage technology relies on the in-depth involvement of professional medical personnel, who perform tasks such as collecting vital signs, scoring, and calculating triage results according to existing standard medical triage procedures. This manual triage method is not only inefficient but also unstable, and the on-site environmental factors can easily pose a threat to the safety of medical personnel.

[0003] With the development and application of embodied Internet of Things technology and artificial intelligence technology in the field of emergency medical rescue, the development of intelligent triage equipment has become possible. CN204618210U provides an intelligent triage device that realizes intelligent triage by collecting the identity information and physiological information of the injured. The invention takes into account the multi-dimensional vital signs data of the injured, but the whole set of devices includes multiple dispersed sub-devices, which are complicated to operate and rely on manual participation in triage. Invention patent CN111329191B provides an intelligent triage bracelet and system based on the Internet of Things to realize wearable integrated detection of the vital signs data and trajectory data of the injured, but only realizes the collection of heart rate and blood pressure, lacks other necessary indicators, and is difficult to apply to the existing emergency triage and rescue standard process. Summary of the Invention

[0004] To address the above issues, the present invention provides an intelligent triage glove for emergency rescue at disaster sites. Based on the START medical triage process, it integrates IoT sensing, digital signal processing, and intelligent computing technologies to achieve light-load, efficient, and autonomous on-site triage.

[0005] An intelligent triage glove for emergency rescue at disaster sites, comprising a glove body 101, a vital sign sensing module, an injury identification hardware integration module, and an injury classification barcode dynamic rendering module 102 provided on the glove body 101;

[0006] The vital signs sensing module is used to sense the vital signs data of the injured person;

[0007] The injury identification hardware integrated module is used to obtain the geographic coordinates of the injured person, process vital sign data, obtain injury classification codes, and generate injury classification barcodes; wherein the injury identification hardware integrated module determines the injury classification code of the injured person based on the injured person's walking ability, respiratory rate, radial artery pulse signal s amplitude, and fist clenching ability;

[0008] The injury classification barcode dynamic rendering module 102 is used to dynamically render and display the injury classification code and the geographic location coordinates of the injured person in the form of a barcode.

[0009] Furthermore, the vital sign sensing module is embedded in the inner layer of the glove body 101 and includes a blood oxygen saturation probe, a radial artery detection probe, and a five-finger pressure sensing probe; the vital sign data includes the index fingertip pulse wave signal, the radial artery pulsation signal, and the injured person's fist clenching signal;

[0010] The blood oxygen saturation probe consists of a transmitter and a receiver, and is embedded in the elastic fingertip at the top of the index finger to fit the fingernail. The transmitter is located on the nail side and is used to send blood oxygen saturation detection signals. The receiver is located on the fingernail side and is used to receive the original blood oxygen saturation signal.

[0011] The radial artery detection probe is embedded in the inner layer of the glove body, located at the junction of one finger below the wrist crease and 0.5 to 1 cm from the outside of the arm, and is used to detect the radial artery pulse signal of the injured person;

[0012] The five-finger pressure sensing probes are embedded in the inner layer of the glove body and are located at the proximal interphalangeal joints of the five fingers, and are used to detect the fist-clenching signal of the injured person.

[0013] Furthermore, the injury identification hardware integrated module includes a microcontroller, a position sensing unit, a vibration motor, a power amplification unit, an analog-to-digital conversion unit, a data storage unit and a power supply;

[0014] The position sensing unit is connected to the microcontroller and is used to obtain the coordinates of the injured person's geographical location and input them into the microcontroller;

[0015] The vibration motor is connected to a microcontroller, and the microcontroller controls the vibration motor to generate a fist-clenching signal of the injured person;

[0016] The power amplifier unit is connected to the blood oxygen saturation probe receiving end, the five-finger pressure sensing probe, the radial artery detection probe and the analog-to-digital conversion unit; the power amplifier module is used to amplify the index fingertip pulse wave signal, the radial artery pulsation signal and the injured person's fist signal, and input them into the analog-to-digital conversion unit;

[0017] The analog-to-digital conversion unit is connected to the power amplifier unit and the microcontroller, and is used to convert the amplified index fingertip pulse wave signal, radial artery pulse signal and the injured person's fist signal into discrete digital signals and input them into the microcontroller;

[0018] The microcontroller is used to control the operation of the other components of the injury identification hardware integrated module, receive vital sign data and the geographic coordinates of the injured person, and at the same time, generate an injury classification code according to the START intelligent injury assessment algorithm and generate an injury classification barcode according to the injury barcode generation algorithm;

[0019] The data storage unit is connected to the microcontroller and is used for persistently storing vital sign data, the geographical location coordinates of the wounded and the injury grading code.

[0020] The power supply is used to supply power to each module and each unit.

[0021] Further, the method for the microcontroller to generate the injury grading code according to the START intelligent injury assessment algorithm is as follows:

[0022] Obtain the initial geographical location coordinates p1 of the wounded from the position sensing unit. After an interval of a preset time threshold t1, obtain the geographical location coordinates p2 of the wounded again. If |p2 - p1| < p, it is determined that the wounded does not have the ability to walk, where p is the preset distance threshold.

[0023] Perform filtering and interpolation processing on the amplified digital signal of the index fingertip pulse wave to obtain the respiratory waveform of the wounded:

[0024]

[0025] In the formula, y is the respiratory waveform of the wounded after autocorrelation processing; n ∈ [[l s / 2], l s -1], l s represents the length of the original respiratory waveform of the wounded, and [l s / 2] represents taking the integer of the length l s ; s(m) and s(m + n) are the respiratory waveforms at the m-th and (m + n)-th moments in the original respiratory waveform of the wounded respectively, and n, m represent the moment indices in the respiratory waveform of the wounded; And calculate the respiratory rate b1 of the wounded according to the mapping rule between the respiratory waveform of the wounded and the respiratory rate; specifically, the method for calculating the respiratory rate b1 according to the respiratory waveform y of the wounded after autocorrelation processing is as follows:

[0026]

[0027]

[0028] In the formula, f is the signal sampling frequency; x i is the coordinate value of the i-th peak arbitrarily selected in the respiratory waveform y of the wounded; x m+i is the coordinate value of the (m + i)-th peak in the respiratory waveform y of the wounded;

[0029] After an interval of a preset time threshold t2, calculate the respiratory rate b2 of the wounded again; obtain the first injury grading result according to the values of b1 and b2, and the specific calculation method is as follows:

[0030]

[0031] ​Performing filtering on the amplified radial artery pulse signal; obtaining a second injury classification result based on the amplitude s of the filtered radial artery pulse signal; wherein, if the amplitude s is always 0, the patient is determined to be a first priority patient;

[0032] Perform filtering on the amplified fist-clenching signal of the injured person; obtain a third injury classification result based on the filtered fist-clenching signal h; if the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is greater than a preset similarity threshold, the injured person is classified as a second-priority injured person; otherwise, the injured person is classified as a first-priority injured person; the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is evaluated based on the waveform similarity parameter Ncc, and the specific calculation method of Ncc is as follows:

[0033]

[0034] Where, P fist (n) and P st (n) are the fist-clenching signal of the patient and the standard control signal within the nth fist-clenching signal cycle respectively; among them, if the waveform similarity parameter Ncc is greater than the preset similarity threshold, the patient is judged as the second priority patient, otherwise it is the first priority patient, and the total number of fist-clenching signal cycles is N.

[0035] Furthermore, the method for the injury identification hardware integrated module to determine the injury classification code of the injured person is:

[0036] The primary injury classification code is obtained according to the first injury classification result, the second injury classification result, or the third injury classification result. The primary injury classification code is obtained using the one-hot coding rule, and the specific coding method is:

[0037]

[0038] The primary injury classification code and the geographic location coordinates are combined and coded to obtain the final injury classification code, and the combined coding order is: primary injury classification code, the injured person's geographic location longitude coordinates, and the injured person's geographic location latitude coordinates.

[0039] Furthermore, the injury identification hardware integration module uses the Code 128 code system to dynamically render the injury classification code and the geographic location coordinates of the injured person in the injury classification barcode dynamic rendering module.

[0040] Furthermore, the injury identification hardware integrated module is located on the outer side of the back of the hand of the glove body 101 and is covered by an elliptical polyurethane shell 103; the elliptical polyurethane shell 103 is provided with a circular array of ventilation holes 104 for heat dissipation of the injury identification hardware integrated module; the elliptical polyurethane shell 103 is used to prevent external static electricity from damaging the injury identification hardware integrated module; the vital sign sensing module is connected to the injury identification hardware integrated module through an electronic circuit, and the electronic circuit is located between the inner and outer layers of the glove body 101.

[0041] Furthermore, a drawstring 106 is provided at the bottom of the glove body 101 ; hook and loop Velcro 107 are provided on the palm surface of the drawstring 106 and the bottom of the palm surface of the glove body 101 to achieve the fit between the drawstring 106 and the bottom of the glove body 101 .

[0042] Furthermore, the tops of the five fingers on the palm surface of the glove body 101 are provided with circular simulated fingerprints 105 made of conductive spinning material that can be operated by touch screen and are used to operate electronic instruments and equipment.

[0043] Beneficial effects:

[0044] 1. The present invention provides an intelligent triage glove for emergency rescue at disaster sites. It integrates Internet of Things sensing, digital signal processing, and intelligent computing technologies to achieve efficient collection of vital signs and injury classification of casualties. Compared with traditional manual triage technology, the present invention significantly improves triage efficiency while ensuring accuracy, thus buying more time for the rescue and transfer of casualties.

[0045] 2. The present invention provides an intelligent triage glove for emergency rescue at disaster sites. By efficiently combining multiple types of IoT sensor modules with control units, the present invention realizes the development of light-load wearable intelligent triage equipment. Compared with existing technologies, the operation is simple and the triage process is autonomous, reducing excessive human involvement.

[0046] 3. The present invention provides an intelligent triage glove for emergency rescue at disaster sites, which uses the START medical triage process as a supporting standard to collect complete information on the injured. Compared with existing technologies, the collected indicators are more comprehensive and rely on the medical triage process to make the triage results more scientific and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the back and palm structural design of the intelligent flaw detection and classification glove of the present invention;

[0048] Figure 2 This is a schematic diagram of the structure and location distribution of the vital sign sensing module, injury identification hardware integrated circuit, and injury classification barcode dynamic rendering module of the present invention;

[0049] Figure 3 The implementation process of the START intelligent injury assessment algorithm of the present invention to generate injury classification results;

[0050] Figure 4 The injury classification barcode generation algorithm of the present invention generates an injury classification barcode implementation process;

[0051] Figure 5 This is the injury classification barcode generated according to the Code 128 code system of the present invention. DETAILED DESCRIPTION

[0052] In order to enable people skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0053] like Figure 1 and Figure 2 As shown, the present invention provides an intelligent triage glove for emergency rescue at disaster sites, including a glove body 101; the glove body 101 is provided with a vital sign sensing module, an injury identification hardware integrated circuit and an injury grading barcode dynamic rendering module 102; the glove body 101 has a double-layer structure, and the interlayer between the inner and outer layers is used for circuit wiring.

[0054] The bottom end of the glove body 101 is provided with a drawstring 106; the palm surface of the drawstring 106 and the bottom end of the palm surface of the glove body 101 are provided with hook and loop Velcro 107 to achieve a tight fit between the drawstring 106 and the bottom end of the glove body 101;

[0055] The palm of the glove body 101 is provided with a conductive spinning material circular simulated fingerprint 105 that can be operated by a touch screen, which is convenient for operating electronic instruments and equipment;

[0056] The vital sign sensing module is embedded in the inner layer of the glove body 101, closely fitting the skin of the patient's hand to sense the patient's vital sign data. The vital sign sensing module includes blood oxygen saturation probes 2007-2008, radial artery detection probe 2001, and five-finger pressure sensing probes 2002-2006. The vital sign data includes the index fingertip pulse wave signal, radial artery pulsation signal, and the patient's fist clenching signal.

[0057] The blood oxygen saturation probe consists of a transmitter 2007 and a receiver 2008, which is embedded in an elastic fingertip 2009 at the top of the index finger to achieve a tight fit with the fingernail. The elastic fingertip 2009 at the top of the index finger is designed as an integral part of the inner layer of the glove body 101, making it easy for people to wear. The transmitter 2007 is located on the nail side and can generally be understood as a photoelectric volume pulse wave sensor. It consists of a red light 2010 and an infrared light 211, and is used to send a blood oxygen saturation detection signal. The blood oxygen saturation detection signal is generally generated by alternating red and infrared light. The receiver 2008 is located on the fingertip side and can generally be understood as a photosensor. It converts the light intensity of the blood oxygen saturation detection signal transmitted through human hemoglobin into the index fingertip pulse wave signal.

[0058] The radial artery detection probe 2001 is embedded in the inner layer of the glove body 101, located at the intersection of the lower wrist crease and 0.5 to 1 cm from the outside of the arm, and is used to detect the radial artery pulse signal. The radial artery detection probe is typically a piezoelectric pulse sensor that uses micro-pressure strain material to convert radial artery pulse conditions into analog electrical signal output. To improve the quality of radial artery pulse signal detection, a strap 106 and Velcro 107 are provided to ensure a tight fit between the radial artery detection probe and the area to be detected.

[0059] The five-finger pressure sensing probes 2002-2006 are embedded in the inner layer of the glove body 101, located at the proximal interphalangeal joints of the five fingers, and are used to detect the patient's fist-clenching signal. The five-finger pressure sensing probes 2002-2006 can generally be understood as pressure sensors, which are used to convert the pressure data of the proximal interphalangeal joints when making a fist into analog electrical signals for output.

[0060] The injury identification hardware integrated circuit is located on the outside of the back of the glove body 101 and is covered by an oval polyurethane shell 103. It is used to obtain the geographic coordinates of the injured person, process vital sign data, obtain injury classification codes, and generate injury classification barcodes. The oval polyurethane shell 103 is arranged with small vents 104 in a circular array to facilitate heat dissipation of the injury identification hardware integrated circuit. The oval polyurethane shell 103 is used to prevent external static electricity from damaging the injury identification hardware integrated circuit. The vital sign sensing module is connected to the injury identification hardware integrated circuit via an electronic circuit located between the inner and outer layers of the glove body 101.

[0061] The injury identification hardware integrated circuit includes a microcontroller 2012, a position sensor module 2013, a vibration motor 2014, a power amplifier module 2015, an analog-to-digital conversion module 2016, a data storage module 2017, and a power supply module 2018;

[0062] The microcontroller 2012 is used to control the normal operation of each module, receive and process vital sign data and geographic location coordinate data, generate injury classification codes according to the START intelligent injury assessment algorithm, and generate injury classification barcodes according to the injury barcode generation algorithm;

[0063] The position sensing module 2013 is connected to the microcontroller 2012 and is used to obtain the geographic location coordinates of the injured person and input them into the microcontroller for further calculation and processing; the position sensing module can generally be understood as a miniature GPS module; the geographic location coordinates of the injured person refer to the latitude and longitude information of the injured person's location.

[0064] The vibration motor 2014 is connected to the microcontroller 2012, and the microcontroller 2012 generates a square wave to control the vibration motor 2014 to output a fist-clenching instruction signal for the injured person;

[0065] The power amplifier module 2015 is connected to the blood oxygen saturation probe receiving end 2008, the five-finger pressure sensing probes 2002-2006, the radial artery detection probe 2001 and the analog-to-digital conversion module 2016; the power amplifier module is used to amplify the index fingertip pulse wave signal, the radial artery pulsation signal and the patient's fist-clenching signal, and input them into the analog-to-digital conversion module 2016; it should be noted that after the patient feels the vibration of the motor, he or she independently controls his or her hand to make a fist, and then the five-finger pressure sensing probes 2002-2006 sense the fist-clenching pressure signals of the five fingers, thereby judging the degree of completion of the patient's fist-clenching and whether he or she can control his or her fist-clenching gesture to be completely standard through his or her own consciousness;

[0066] The analog-to-digital conversion module 2016 is connected to the power amplifier module 2015 and the microcontroller 2012, and is used to convert analog signals such as the amplified index fingertip pulse wave signal, radial artery pulse signal, and the patient's fist signal into discrete digital signals, and input them into the microcontroller 2012 for further calculation and processing. The analog-to-digital conversion module 2016 mainly performs sampling, quantization, and encoding on the above analog signals.

[0067] The data storage module is connected to the microcontroller 2012 and is used to persistently store vital sign data, geographic location coordinates, and injury classification codes; the data storage module can generally be understood as an electrically erasable programmable read-only memory;

[0068] The power module 2018 is connected to other modules of the glove body 101 for power supply.

[0069] The injury classification barcode dynamic rendering module 102 is located on the outer side of the back of the glove body 101, and is used to dynamically render and display the injury classification code and the geographical location coordinates in the form of a barcode; the injury classification barcode dynamic rendering module can generally be understood as an LCD liquid crystal display unit; the injury classification barcode dynamic rendering module 102 is connected to the injury identification hardware integrated circuit through the electronic circuit.

[0070] As Figure 3 shown, the implementation process of the START intelligent injury verification algorithm adopted by the present invention is as follows:

[0071] S1: Obtain the initial geographical location coordinates p1 of the wounded person according to the position sensing module 2013. After an interval of a preset time threshold t1, obtain the geographical location coordinates p2 of the wounded person again. If |p2 - p1| < p, it is determined that the wounded person is difficult to walk and does not have the ability to walk, where p is a preset distance threshold;

[0072] S2: Perform filtering and interpolation processing on the amplified digital signal of the index finger tip pulse wave to obtain the breathing waveform of the wounded person. To reduce interference, perform autocorrelation processing on the breathing waveform of the wounded person. The specific calculation method is as follows:

[0073]

[0074] In the formula, y is the breathing waveform of the wounded person after autocorrelation processing; n ∈ [[l s / 2], l s -1], l [[ID=2nd]] s represents the length of the original breathing waveform of the wounded person, [l s / 2] represents taking the integer of the length l s ; s(m) and s(m + n) are the breathing waveforms at the mth and m + nth moments in the original breathing waveform of the wounded person respectively, and n, m represent the moment indexes in the breathing waveform of the wounded person;

[0075] S3: Calculate the breathing frequency b1 of the wounded person according to the mapping rule between the breathing waveform of the wounded person and the breathing frequency; among them, the method for calculating the breathing frequency b1 according to the breathing waveform y of the wounded person after autocorrelation processing is specifically as follows: <

[0076]

[0077] In the formula, f is the signal sampling frequency; x i is the coordinate value size corresponding to the ith peak randomly selected in the breathing waveform y of the wounded person; x m+i is the coordinate value size corresponding to the m + ith peak in the breathing waveform y of the wounded person;

[0078] After the preset time threshold t2, the patient's respiratory rate b2 is calculated again; based on the values ​​of b1 and b2, the first injury classification result is obtained. The specific calculation method is as follows:

[0079]

[0080] S3: Filtering the amplified radial artery pulse signal; obtaining a second injury classification result based on the amplitude s of the filtered radial artery pulse signal; wherein, if the amplitude s is always 0, the patient is determined to be a first-priority casualty;

[0081] S4: Filter the amplified fist-clenching signal of the injured person; obtain a third injury classification result based on the filtered fist-clenching signal h of the injured person; if the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is greater than a preset similarity threshold, the injured person is determined to be a second-priority injured person; otherwise, the injured person is determined to be a first-priority injured person; the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is evaluated based on the waveform similarity parameter Ncc, and the specific calculation method of Ncc is as follows:

[0082]

[0083] Where, P fist (n) and P st (n) are the fist-clenching signal of the patient and the standard control signal within the nth fist-clenching signal cycle respectively; among them, if the waveform similarity parameter Ncc is greater than the preset similarity threshold, the patient is judged as the second priority patient, otherwise it is the first priority patient, and the total number of fist-clenching signal cycles is N.

[0084] like Figure 4 As shown, the implementation process of the injury barcode generation algorithm adopted by the present invention is specifically as follows:

[0085] S5: Obtain a final injury classification code based on the first injury classification result, the second injury classification result, or the third injury classification result. The final injury classification coding method adopts a one-hot coding rule, and the specific coding method is:

[0086]

[0087] S6: Combine the final injury classification code and the geographic location coordinates. The specific coding order is: final injury classification code, the patient's geographic location longitude coordinates, and the patient's geographic location latitude coordinates. For example, for the first-priority patient at longitude 116.359323 and latitude 39.990348, the combined coding result is: 001116.35932339.990348;

[0088] S7: The microcontroller dynamically renders the combined coding result to the injury classification barcode dynamic rendering module 102 according to the Code 128 code system. The barcode generation result is as follows: Figure 5 shown.

[0089] As can be seen, the present invention provides an intelligent triage glove for disaster site emergency rescue. The glove uses a vital sign sensing module to acquire pulse wave signals from the victim's index fingertip, radial artery pulse signals, and fist clenching signals. These signals are amplified, converted to analog-to-digital, filtered, and processed, and then input together with the victim's geographic coordinates into an injury classification hardware integrated circuit to obtain an injury classification result. Finally, the injury classification code and geographic coordinates are combined and dynamically rendered and displayed in the form of a barcode using the Code 128 code system via the injury classification barcode dynamic rendering module 102. While ensuring triage efficiency and accuracy, the present invention minimizes human involvement. The collected indicators are based on medical standards, are accurate and scientific, and are wearable, highly integrated, and minimize upper body stress.

[0090] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may of course make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

Claims

1. An intelligent triage glove for emergency rescue at disaster sites, characterized by: It comprises a glove body (101), and a vital sign sensing module, an injury identification hardware integration module, and an injury classification barcode dynamic rendering module (102) arranged on the glove body (101); The vital signs sensing module is used to sense the vital signs data of the injured person; The injury identification hardware integrated module is used to obtain the geographic coordinates of the injured person, process vital sign data, obtain injury classification codes, and generate injury classification barcodes; wherein the injury identification hardware integrated module determines the injury classification code of the injured person based on the injured person's walking ability, respiratory rate, radial artery pulse signal s amplitude, and fist clenching ability; The injury classification barcode dynamic rendering module (102) is used to dynamically render and display the injury classification code and the geographic location coordinates of the injured person in the form of a barcode; The vital sign sensing module is embedded in the inner layer of the glove body (101) and includes a blood oxygen saturation probe, a radial artery detection probe, and a five-finger pressure sensing probe; the vital sign data includes an index fingertip pulse wave signal, a radial artery pulsation signal, and a fist clenching signal of the injured person; The blood oxygen saturation probe consists of a transmitter and a receiver, and is embedded in the elastic fingertip at the top of the index finger to fit the fingernail. The transmitter is located on the nail side and is used to send blood oxygen saturation detection signals. The receiver is located on the fingernail side and is used to receive the original blood oxygen saturation signal. The radial artery detection probe is embedded in the inner layer of the glove body, located at the junction of one finger below the wrist crease and 0.5 to 1 cm from the outside of the arm, and is used to detect the radial artery pulse signal of the injured person; The five-finger pressure sensing probes are embedded in the inner layer of the glove body and located at the proximal interphalangeal joints of the five fingers, and are used to detect fist-clenching signals of the injured person; The injury identification hardware integrated module includes a microcontroller, a position sensing unit, a vibration motor, a power amplifier unit, an analog-to-digital conversion unit, a data storage unit and a power supply; The position sensing unit is connected to the microcontroller and is used to obtain the coordinates of the injured person's geographical location and input them into the microcontroller; The vibration motor is connected to a microcontroller, which controls the vibration motor to output a fist-clenching signal of the injured person; The power amplifier unit is connected to the blood oxygen saturation probe receiving end, the five-finger pressure sensing probe, the radial artery detection probe and the analog-to-digital conversion unit; the power amplifier unit is used to amplify the index fingertip pulse wave signal, the radial artery pulsation signal and the injured person's fist signal, and input them into the analog-to-digital conversion unit; The analog-to-digital conversion unit is connected to the power amplifier unit and the microcontroller, and is used to convert the amplified index fingertip pulse wave signal, radial artery pulse signal and the injured person's fist signal into discrete digital signals and input them into the microcontroller; The microcontroller is used to control the operation of the other components of the injury identification hardware integrated module, receive vital sign data and the geographic coordinates of the injured person, and at the same time, generate an injury classification code according to the START intelligent injury assessment algorithm and generate an injury classification barcode according to the injury barcode generation algorithm; The data storage unit is connected to the microcontroller and is used for persistently storing vital sign data, geographic location coordinates of the injured person and injury classification codes; The power supply is used to supply power to each module and each unit.

2. The intelligent triage glove for disaster site emergency rescue according to claim 1, characterized in that: The method by which the microcontroller generates injury classification codes based on the START intelligent injury assessment algorithm is as follows: The position sensor unit obtains the initial geographic location coordinates p1 of the injured person, and obtains the geographic location coordinates p2 of the injured person again after a preset time threshold t1. If |p2-p1| < p, it is determined that the injured person is unable to walk, where p is a preset distance threshold; The amplified index fingertip pulse wave digital signal is filtered and interpolated to obtain the patient's respiratory waveform: Where y is the respiratory waveform of the injured person after autocorrelation processing; n∈[[l s / 2],l s -1],l s Indicates the length of the original respiratory waveform of the injured person, [l s / 2] indicates the length l s of And round up; s(m) and s(m+n) are the respiratory waveforms at the mth and m+nth moments in the original respiratory waveform of the injured person, respectively; n and m represent the moment indexes in the respiratory waveform of the injured person; According to the mapping rule between the patient's respiratory waveform and respiratory frequency, the patient's respiratory frequency b1 is calculated. The specific method for calculating the respiratory frequency b1 based on the patient's respiratory waveform y after autocorrelation processing is as follows: Where f is the signal sampling frequency; x i is the coordinate value corresponding to the i-th peak value arbitrarily selected from the patient's respiratory waveform y; k+i is the coordinate value corresponding to the k+i peak in the patient's respiratory waveform y; k is x k+i with x i the number of breaths between After the preset time threshold t2, the patient's respiratory rate b2 is calculated again; based on the values ​​of b1 and b2, the first injury classification result is obtained. The specific calculation method is as follows: Performing filtering on the amplified radial artery pulse signal; obtaining a second injury classification result based on the amplitude s of the filtered radial artery pulse signal; wherein, if the amplitude s is always 0, the patient is determined to be a first priority casualty; Perform filtering on the amplified fist-clenching signal of the injured person; obtain a third injury classification result based on the filtered fist-clenching signal h; if the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is greater than a preset similarity threshold, the injured person is classified as a second-priority injured person; otherwise, the injured person is classified as a first-priority injured person; the degree of similarity between the waveform of the injured person's fist-clenching signal and the waveform of the standard control signal is evaluated based on the waveform similarity parameter Ncc, and the specific calculation method of Ncc is as follows: Where, P fist (n) and P st (n) are the fist-clenching signal of the patient and the standard control signal within the nth fist-clenching signal cycle, respectively; if the waveform similarity parameter Ncc is greater than the preset similarity threshold, the patient is determined to be a second-priority patient, otherwise, the patient is determined to be a first-priority patient, and N is the total number of fist-clenching signal cycles.

3. The intelligent triage glove for disaster site emergency rescue according to claim 2, characterized in that: The method for the injury identification hardware integrated module to determine the injury classification code of the injured person is: The primary injury classification code is obtained according to the first injury classification result, the second injury classification result, or the third injury classification result. The primary injury classification code is obtained using the one-hot coding rule, and the specific coding method is: The primary injury classification code and the geographic location coordinates are combined and coded to obtain the final injury classification code, and the combined coding order is: primary injury classification code, the injured person's geographic location longitude coordinates, and the injured person's geographic location latitude coordinates.

4. The intelligent triage glove for disaster site emergency rescue according to claim 1, characterized in that: The injury identification hardware integration module uses the Code 128 code system to dynamically render the injury classification code and the geographic location coordinates of the injured person in the injury classification barcode dynamic rendering module.

5. The intelligent triage glove for disaster scene emergency rescue according to claim 1, characterized in that: The injury identification hardware integrated module is located on the outer side of the back of the hand of the glove body (101) and is covered by an elliptical polyurethane shell (103); the elliptical polyurethane shell (103) is provided with vents (104) arranged in a circular array for heat dissipation of the injury identification hardware integrated module; the elliptical polyurethane shell (103) is used to prevent external static electricity from damaging the injury identification hardware integrated module; the vital sign sensing module is connected to the injury identification hardware integrated module via an electronic circuit, and the electronic circuit is located between the inner and outer layers of the glove body (101).

6. The intelligent triage glove for disaster scene emergency rescue according to claim 1, characterized in that: The bottom end of the glove body (101) is provided with a drawstring (106); the palm surface of the drawstring (106) and the bottom end of the palm surface of the glove body (101) are provided with hook-surface and fleece-surface Velcro (107), so as to achieve the fitting of the drawstring (106) and the bottom end of the glove body (101).

7. The intelligent triage glove for disaster scene emergency rescue according to claim 1, characterized in that: The tops of the five fingers on the palm of the glove body (101) are provided with circular simulated fingerprints (105) made of conductive spinning material that can be operated by a touch screen and are used to operate electronic instruments and equipment.

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