Medical treatment device for search and rescue aircraft

Abstract

This invention discloses a medical treatment device for search and rescue aircraft, comprising: a rewarming device, a vital signs monitoring device, an emergency treatment device, and an onboard power supply; the rewarming device includes a warming blanket and a far-infrared rewarming bag for rewarming the user; the vital signs monitoring device, connected to the rewarming device and the emergency treatment device respectively, includes a blood pressure monitor, a heart rate measurement module, a body temperature measurement module, an oxygen saturation measurement module, a carbon dioxide sensor, an electrocardiogram measuring instrument, and a vital signs assessment module for monitoring the user's vital signs; the emergency treatment device includes an automated external defibrillator, a cardiopulmonary resuscitation device, a simple ventilator, an onboard oxygen supply device, an infusion pump, and a quantitative infusion pump for emergency treatment of the user; the onboard power supply, connected to the rewarming device, the vital signs monitoring device, and the emergency treatment device respectively, provides power to the rewarming device, the vital signs monitoring device, and the emergency treatment device.

Description

Technical Field

[0001] This invention relates to the field of maritime emergency rescue, and specifically to a medical treatment device for search and rescue aircraft. Background Technology

[0002] With the development of marine development and marine science and technology, the density of ships and marine operations are constantly expanding. Influenced by natural and human factors, the frequency of natural disasters, public health emergencies, and other incidents at sea will also increase, making maritime dangers unavoidable. To minimize loss of life and property and protect the marine ecological environment and social stability, the development and research of maritime emergency rescue require comprehensive consideration of environmental, personnel, and technological factors, necessitating resource integration, coordination, and key technology research.

[0003] Maritime safety incidents are typically sudden and catastrophic, and compared to general rescue operations, they are characterized by variable search and rescue environments, difficulties in determining search areas, high timeliness requirements for rescuing those in distress, and complex coordination of search and rescue forces. After locating those in distress and launching effective emergency rescue operations, rapidly implementing effective medical rescue and treatment can maximize their survival time and probability.

[0004] Currently, medical rescue systems for people in distress at sea are mostly single-system solutions, consisting mainly of rewarming devices, stretchers, and vital sign monitoring devices. These systems cannot effectively address different maritime rescue scenarios with specialized medical rescue systems and plans, potentially leading to shortages of specialized medical equipment and medications. Consequently, the effectiveness of medical treatment for those in maritime distress is poor, and the systems cannot fully cover various maritime emergency rescue missions. For different maritime disaster scenarios (such as collisions, groundings, reef strikes, fires, sinkings, damage, and windstorms), targeted, multi-scenario adaptable, comprehensive, and systematic medical rescue systems for people in distress are needed. Therefore, the development of systematic medical rescue equipment systems for search and rescue aircraft should be actively pursued to maximize the protection of people's lives and property. Summary of the Invention

[0005] This invention primarily addresses the problem that existing medical rescue systems for people in distress at sea are mostly single systems, consisting of rewarming devices, stretchers, and vital sign monitoring devices, which cannot effectively adapt to different rescue scenarios at sea. This invention discloses a medical rescue device for search and rescue aircraft.

[0006] In a first aspect, the present invention discloses a medical treatment device for search and rescue aircraft, comprising: a rewarming device, a vital signs monitoring device, an emergency treatment device, and an onboard power supply;

[0007] The rewarming device includes a warm blanket and a far-infrared rewarming bag, used to rewarm the user;

[0008] The vital signs monitoring device is connected to the rewarming device and the emergency treatment device respectively, and includes a blood pressure monitor, a heart rate measurement module, a body temperature measurement module, an oxygen saturation measurement module, a carbon dioxide sensor, an electrocardiogram measuring instrument and a vital signs assessment module, for monitoring the vital signs of the user;

[0009] The emergency medical equipment includes an automated external defibrillator, a cardiopulmonary resuscitation device, a simple ventilator, an onboard oxygen supply device, an infusion pump, and a metered infusion pump, used to provide emergency medical treatment to users;

[0010] The onboard power supply is connected to the rewarming equipment, vital signs monitoring equipment, and emergency treatment equipment respectively, and is used to provide power to the rewarming equipment, vital signs monitoring equipment, and emergency treatment equipment.

[0011] The vital signs assessment module of the vital signs monitoring device is connected to a blood pressure monitor, heart rate measurement module, body temperature measurement module, oxygen saturation measurement module, carbon dioxide sensor, and electrocardiogram measuring instrument, respectively. It is used to assess the user's vital signs based on the measurement values ​​of each measurement module and sensor to obtain a set of vital signs assessment values.

[0012] The set of vital signs assessment values ​​includes body temperature assessment results, cardiac assessment results, respiratory assessment results, and vital signs assessment values;

[0013] The blood pressure monitor is used to measure and obtain the user's blood pressure sequence;

[0014] The heart rate measurement module is used to measure and obtain the user's heart rate measurement sequence;

[0015] The body temperature measurement module is used to measure the user's body temperature sequence;

[0016] The oxygen saturation measurement module is used to measure the user's blood oxygen saturation sequence;

[0017] The carbon dioxide sensor is used to measure the gas concentration sequence of carbon dioxide gas in the environment;

[0018] The electrocardiogram (ECG) measuring instrument is used to measure the user's ECG sequence.

[0019] The vital signs assessment module assesses the user's vital signs based on the measurements from various measurement modules and sensors, resulting in a set of vital signs assessment values, including:

[0020] The vital signs assessment module uses a body temperature assessment model to evaluate and process the body temperature measurement sequence to obtain the body temperature assessment result value.

[0021] The electrocardiogram measurement sequence and heart rate measurement sequence are processed using a cardiac assessment model to obtain cardiac assessment result values;

[0022] The blood oxygen saturation sequence and gas concentration sequence were processed using a respiratory assessment model to obtain respiratory assessment results.

[0023] Using a vital signs assessment model, the blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence are processed to obtain vital signs assessment values.

[0024] The process of using a body temperature assessment model to evaluate and process body temperature measurement sequences to obtain body temperature assessment result values ​​includes:

[0025] Obtain the standard body temperature value;

[0026] Subtracting the standard body temperature value from the body temperature measurement sequence yields the body temperature difference sequence.

[0027] The body temperature difference sequence is processed by body temperature assessment calculation to obtain the body temperature assessment result value;

[0028] The expression for the body temperature assessment calculation is as follows:

[0029]

[0030] Where a is the body temperature assessment result value, x0 is the standard body temperature value, and x j Let Δx be the j-th element of the body temperature measurement sequence. j Let M represent the j-th element of the body temperature difference sequence, and M be the length of the body temperature measurement sequence.

[0031] The body temperature assessment calculation process uses a sine function to capture the periodic characteristics of body temperature fluctuations and a logarithmic function to amplify small abnormal changes, resulting in robust design. It employs absolute value and ratio calculations to reduce the impact of extreme values ​​on the assessment results, exhibiting dynamic adaptability. The assessment sensitivity is automatically adjusted based on standard body temperature values ​​to accommodate patients of different age groups. It comprehensively considers both absolute and relative deviations to provide a holistic assessment of body temperature status.

[0032] The process of using a cardiac assessment model to process the electrocardiogram measurement sequence and heart rate measurement sequence to obtain cardiac assessment result values ​​includes:

[0033] The electrocardiogram (ECG) measurement sequence and the heart rate measurement sequence are subjected to feature statistical processing to obtain a set of ECG statistical values ​​and a set of heart rate statistical values. The set of ECG statistical values ​​includes the mean and variance of the ECG measurement sequence. The set of heart rate statistical values ​​includes the median and mode of the heart rate measurement sequence.

[0034] The electrocardiogram (ECG) statistical value set is processed by ECG feature calculation to obtain ECG feature values ​​and ECG weighted values;

[0035] The heart rate statistics set is processed by heart rate feature calculation to obtain heart rate feature values ​​and heart rate weighted values;

[0036] The ECG weighted value and heart rate weighted value are used to perform a weighted summation of the ECG characteristic value and heart rate characteristic value to obtain the cardiac assessment result value.

[0037] The expression for calculating and processing the electrocardiogram features is:

[0038]

[0039] Where ω1 represents the ECG weighted value, and μ and v represent the mean and variance, respectively;

[0040] The advantages of the expression used in the ECG feature calculation and processing include: feature dimensionality reduction: mapping the mean and variance to angular space, compressing data dimensionality while retaining key information; anomaly detection capability: the arctangent function maps large-scale fluctuations to a finite interval, highlighting abnormal ECG patterns; weighting mechanism: using a third-order Chebyshev polynomial to generate weighted values, assigning higher weights to abnormal ECG patterns; noise resistance: the square root operation smooths out the influence of noise, improving feature stability; clinical interpretability: the generated ECG feature values ​​are correlated with clinical ECG morphological indicators.

[0041] The expression for calculating and processing the heart rate features is:

[0042] H2=T2(p / q), ω2=log2|p / q|,

[0043] Where p and q represent the median and mode values, respectively; H1 and H2 represent the electrocardiogram characteristic value and the heart rate characteristic value, respectively; T2() and T3() represent the second-order and third-order polynomials of the first-order Chebyshev polynomials, respectively; and ω2 represents the heart rate weighted value.

[0044] The expression for calculating and processing heart rate features reflects the skewness of the heart rate distribution through the ratio of the median p to the mode q using a Chebyshev polynomial mapping. The second-order Chebyshev polynomial maps the ratio to the [-1,1] interval, enhancing feature discrimination through a logarithmic weighting mechanism. The logarithmic function provides an exponential response to abnormal heart rate changes, improving early warning sensitivity and compressing the dynamic range. It effectively handles situations with high heart rate variability, avoiding extreme values ​​dominating the evaluation results and improving real-time monitoring adaptability. It has low computational complexity and is suitable for continuous heart rate monitoring scenarios.

[0045] The process of using a respiratory assessment model to process the blood oxygen saturation sequence and gas concentration sequence to obtain respiratory assessment result values ​​includes:

[0046] The blood oxygen saturation sequence and the gas concentration sequence are transformed to obtain the corresponding blood oxygen saturation transformed sequence and gas concentration transformed sequence, respectively.

[0047] The blood oxygen saturation transformation sequence and the gas concentration transformation sequence are subjected to respiratory assessment calculations to obtain respiratory assessment result values.

[0048] The expression for the respiratory assessment calculation is:

[0049]

[0050] H3 represents the respiratory assessment result value. and These are the mean values ​​of the blood oxygen saturation sequence and the gas concentration sequence, respectively; ρ is a preset calculation factor; N0 is the length of the blood oxygen saturation transformation sequence; and S1(n) and S2(n) are the nth terms of the blood oxygen saturation transformation sequence and the gas concentration transformation sequence, respectively.

[0051] The expression for the transformation process is:

[0052]

[0053] Wherein, S(n) is the nth term of the transformation sequence, N is the length of the blood oxygen saturation sequence and the gas concentration sequence, and x(k) is the kth term of the blood oxygen saturation sequence or the gas concentration sequence.

[0054] The vital signs assessment model is used to process the blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence to obtain vital signs assessment values, including:

[0055] Obtain the standard values ​​of each physiological indicator;

[0056] The blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence are subtracted from their corresponding standard values ​​to obtain the blood pressure difference sequence, heart rate difference sequence, body temperature difference sequence, oxygen saturation difference sequence, gas concentration difference sequence, and electrocardiogram difference sequence, respectively.

[0057] Using all the difference sequences, a difference matrix is ​​constructed; the row vectors of the difference matrix are the difference sequences.

[0058] The difference matrix is ​​processed by analogy vector calculation to obtain the analogy vector;

[0059] The expression for the analogy vector calculation is:

[0060]

[0061] Among them, a ij Let α represent the element in the i-th row and j-th column of the difference matrix. i κ1 represents the i-th element of the analogy vector, M is the column dimension of the difference matrix, and k1 and κ2 are the preset first and second weight values, respectively.

[0062] The analogy vector is evaluated and calculated to obtain vital sign assessment values; the expression for the evaluation and calculation is:

[0063]

[0064] Where pe is the vital sign assessment value, m is the row dimension of the difference matrix, and A i Let be the mean of the i-th row of the difference matrix.

[0065] The far-infrared warming bag includes a heating control module and a resistance module; the heating control module is used to generate a heating current control value based on the body temperature assessment result value; and output a corresponding current to the resistance module according to the heating current control value.

[0066] The beneficial effects of this invention are as follows:

[0067] This technology is a medical treatment device applicable to search and rescue aircraft, adaptable to various maritime disaster scenarios such as collisions, groundings, reef strikes, fires, sinkings, damage, and storms. It provides comprehensive rewarming, vital sign monitoring, emergency aid, and medication for successfully located personnel. It provides excellent medical treatment conditions for effectively rescuing and treating those in distress, improving the success rate and efficiency of rescue efforts under different conditions. The medical treatment equipment system involved in this patent enables aircraft to implement effective treatment plans and can effectively adapt to changing maritime emergency rescue scenarios, thereby ensuring the safety of both those in distress and rescue personnel.

[0068] The device of this invention specifically constructs a body temperature assessment model, a heart assessment model, a respiratory assessment model, and a vital signs assessment model, which process different types of physiological parameters of the user to obtain assessment results. Based on the assessment results, the device prompts the user to use the corresponding emergency equipment for treatment. By establishing the above models, the effectiveness and accuracy of emergency treatment for users are improved.

[0069] This invention utilizes a vital signs assessment model to process the blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence to obtain vital signs assessment values, thereby achieving a comprehensive and accurate assessment of the user's vital signs. Attached Figure Description

[0070] Figure 1 This is a flowchart illustrating the implementation of the method of the present invention. Detailed Implementation

[0071] To better understand the content of this invention, an embodiment is provided here.

[0072] Figure 1 This is a flowchart illustrating the implementation of the method of the present invention.

[0073] In a first aspect, the present invention discloses a medical treatment device for search and rescue aircraft, comprising: a rewarming device, a vital signs monitoring device, an emergency treatment device, and an onboard power supply;

[0074] The rewarming device includes a warm blanket and a far-infrared rewarming bag, used to rewarm the user;

[0075] The vital signs monitoring device is connected to the rewarming device and the emergency treatment device respectively, and includes a blood pressure monitor, a heart rate measurement module, a body temperature measurement module, an oxygen saturation measurement module, a carbon dioxide sensor, an electrocardiogram measuring instrument and a vital signs assessment module, for monitoring the vital signs of the user;

[0076] The emergency medical equipment includes an automated external defibrillator, a cardiopulmonary resuscitation device, a simple ventilator, an onboard oxygen supply device, an infusion pump, and a metered infusion pump, used to provide emergency medical treatment to users.

[0077] The onboard power supply is connected to the rewarming equipment, vital signs monitoring equipment, and emergency treatment equipment respectively, and is used to provide power to the rewarming equipment, vital signs monitoring equipment, and emergency treatment equipment.

[0078] The vital signs assessment module of the vital signs monitoring device is connected to a blood pressure monitor, heart rate measurement module, body temperature measurement module, oxygen saturation measurement module, carbon dioxide sensor and electrocardiogram measuring instrument, respectively, and is used to assess the user's vital signs based on the measurement values ​​of each measurement module and sensor to obtain a set of vital signs assessment values.

[0079] The set of vital signs assessment values ​​includes body temperature assessment results, cardiac assessment results, respiratory assessment results, and vital signs assessment values;

[0080] The blood pressure monitor is used to measure and obtain the user's blood pressure sequence;

[0081] The heart rate measurement module is used to measure and obtain the user's heart rate measurement sequence;

[0082] The body temperature measurement module is used to measure the user's body temperature sequence;

[0083] The oxygen saturation measurement module is used to measure the user's blood oxygen saturation sequence;

[0084] The carbon dioxide sensor is used to measure the gas concentration sequence of carbon dioxide gas in the environment;

[0085] The electrocardiogram (ECG) measuring instrument is used to measure the user's ECG sequence.

[0086] The vital signs assessment module assesses the user's vital signs based on the measurements from various measurement modules and sensors, resulting in a set of vital signs assessment values, including:

[0087] The vital signs assessment module uses a body temperature assessment model to evaluate and process the body temperature measurement sequence to obtain the body temperature assessment result value.

[0088] The electrocardiogram measurement sequence and heart rate measurement sequence are processed using a cardiac assessment model to obtain cardiac assessment result values;

[0089] The blood oxygen saturation sequence and gas concentration sequence were processed using a respiratory assessment model to obtain respiratory assessment results.

[0090] Using a vital signs assessment model, the blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence are processed to obtain vital signs assessment values.

[0091] The process of using a body temperature assessment model to evaluate and process body temperature measurement sequences to obtain body temperature assessment result values ​​includes:

[0092] Obtain the standard body temperature value;

[0093] Subtracting the standard body temperature value from the body temperature measurement sequence yields the body temperature difference sequence.

[0094] The body temperature difference sequence is processed by body temperature assessment calculation to obtain the body temperature assessment result value;

[0095] The expression for the body temperature assessment calculation is as follows:

[0096]

[0097] Where a is the body temperature assessment result value, x0 is the standard body temperature value, and x j Let Δx be the j-th element of the body temperature measurement sequence. j Let M represent the j-th element of the body temperature difference sequence, and M be the length of the body temperature measurement sequence.

[0098] The process of using a cardiac assessment model to process the electrocardiogram measurement sequence and heart rate measurement sequence to obtain cardiac assessment result values ​​includes:

[0099] The electrocardiogram (ECG) measurement sequence and the heart rate measurement sequence are subjected to feature statistical processing to obtain a set of ECG statistical values ​​and a set of heart rate statistical values, respectively.

[0100] The electrocardiogram (ECG) statistical value set is processed by ECG feature calculation to obtain ECG feature values ​​and ECG weighted values;

[0101] The heart rate statistics set is processed by heart rate feature calculation to obtain heart rate feature values ​​and heart rate weighted values;

[0102] The ECG weighted value and heart rate weighted value are used to perform a weighted summation of the ECG characteristic value and heart rate characteristic value to obtain the cardiac assessment result value.

[0103] The expression for calculating and processing the electrocardiogram features is:

[0104] ω1=T3(sin(μ / v)),

[0105] Where ω1 represents the ECG weighted value, and μ and v represent the mean and variance, respectively;

[0106] The expression for calculating and processing the heart rate features is:

[0107] H2=T2(p / q), ω2=log2|p / q|,

[0108] Where p and q represent the median and mode values, respectively; H1 and H2 represent the electrocardiogram characteristic value and the heart rate characteristic value, respectively; T2() and T3() represent the second-order and third-order polynomials of the first-order Chebyshev polynomials, respectively; and ω2 represents the heart rate weighted value.

[0109] The process of using a respiratory assessment model to process the blood oxygen saturation sequence and gas concentration sequence to obtain respiratory assessment result values ​​includes:

[0110] The blood oxygen saturation sequence and the gas concentration sequence are transformed to obtain the corresponding oxygen saturation transformation sequence and gas concentration transformation sequence, respectively.

[0111] The oxygen saturation transformation sequence and the gas concentration transformation sequence are processed for respiratory assessment to obtain respiratory assessment result values.

[0112] The expression for the respiratory assessment calculation is:

[0113]

[0114] H3 represents the respiratory assessment result value. and ρ and N0 are the mean values ​​of the blood oxygen saturation sequence and the gas concentration sequence, respectively; ρ is a preset calculation factor; N0 is the length of the blood oxygen saturation transformation sequence; and S1(n) and S2(n) are the nth terms of the blood oxygen saturation transformation sequence and the gas concentration transformation sequence, respectively.

[0115] The expression for the transformation process is:

[0116]

[0117] Wherein, S(n) is the nth term of the transformation sequence, N is the length of the blood oxygen saturation sequence and the gas concentration sequence, and x(k) is the kth term of the blood oxygen saturation sequence or the gas concentration sequence.

[0118] The vital signs assessment model is used to process the blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence to obtain vital signs assessment values, including:

[0119] Obtain the standard values ​​of each physiological indicator;

[0120] The blood pressure sequence, heart rate measurement sequence, body temperature measurement sequence, blood oxygen saturation sequence, gas concentration sequence, and electrocardiogram measurement sequence are subtracted from their corresponding standard values ​​to obtain the blood pressure difference sequence, heart rate difference sequence, body temperature difference sequence, oxygen saturation difference sequence, gas concentration difference sequence, and electrocardiogram difference sequence, respectively.

[0121] Using all the difference sequences, a difference matrix is ​​constructed; the row vectors of the difference matrix are the difference sequences.

[0122] The difference matrix is ​​processed by analogy vector calculation to obtain the analogy vector;

[0123] The expression for the analogy vector calculation is:

[0124]

[0125] Among them, a ij Let α represent the element in the i-th row and j-th column of the difference matrix. i The i-th element of the analogy vector is represented by κ1, M is the column dimension of the difference matrix, and κ1 and κ2 are the preset first and second weight values, respectively.

[0126] The analogy vector is evaluated and calculated to obtain vital sign assessment values; the expression for the evaluation and calculation is:

[0127]

[0128] Where pe is the vital sign assessment value, m is the row dimension of the difference matrix, and A i Let be the mean of the i-th row of the difference matrix.

[0129] The far-infrared warming bag includes a heating control module and a resistance module; the heating control module is used to generate a heating current control value based on the body temperature assessment result value; and output a corresponding current to the resistance module according to the heating current control value.

[0130] The resistor module is used to generate heat under the excitation of the input current.

[0131] When the cardiac assessment result value is greater than the set cardiac assessment threshold, cardiopulmonary resuscitation (CPR) is performed on the user using an automated external defibrillator and a cardiopulmonary resuscitation device.

[0132] When the respiratory assessment result value is greater than the set respiratory assessment threshold, a simple ventilator and onboard oxygen supply equipment are used to perform respiratory rehabilitation treatment on the user.

[0133] The step of generating a heating current control value based on the body temperature assessment result can be achieved by multiplying the body temperature assessment result value by a preset proportional coefficient.

[0134] In a second aspect, this invention discloses a medical treatment device for search and rescue aircraft, comprising a rewarming device, a vital signs monitoring device, and emergency treatment equipment. The rewarming device includes warming blankets, far-infrared rewarming bags, etc.; the vital signs monitoring device includes temperature, blood pressure, and electrocardiogram (ECG) measuring instruments, etc. The emergency treatment equipment includes cardiopulmonary resuscitation (CPR) equipment, defibrillation equipment, airborne oxygen supply equipment, simple bandaging surgical equipment, a medical waste bin, and emergency medications.

[0135] The vital signs monitoring device uses a Mobile Portable Intensive Care Unit (MRIF). MRIF is not only a specialized stretcher system but also a mobile, portable, independent intensive care unit designed for portability and rapid response. The Mobile Portable Intensive Care Unit is self-contained, even including its power supply. It does not rely on any other equipment and can be quickly and easily mounted on vehicles, airplanes, or ships. A standard MRIF system mainly includes the following components.

[0136] The equipment includes defibrillators, multi-functional intensive care monitors, blood pressure monitors, heart rate, body temperature, oxygen saturation, and carbon dioxide sensors, electrocardiographs, suction devices, ventilators, metered infusion pumps, syringe pumps, and a complete power supply. The equipment list is shown in Table 1.

[0137] Table 1 Equipment List and Dimensions

[0138]

[0139] Generally, the quantity of medical equipment and instruments that a transport aircraft should carry depends on the condition of the injured or sick patient being transported. Table 2 shows a typical emergency medical transport system.

[0140] Table 2 Emergency Medical System for Transporting the Wounded

[0141] Serial Number name unit quantity 1 ECG defibrillator monitor tower 1 2 Cardiopulmonary resuscitation device tower 1 3 Airborne oxygen supply equipment tower 1 4 Simple ventilator tower 1 5 First aid bandaging equipment tower 1 6 Micro-infusion pump / pressurized infusion / blood transfusion device set 1 7 Surgical instrument pack tower 1 8 noise-resistant stethoscope set 1 9 Equipment and medicine cabinet indivual 1 10 carbon fiber enclosure tower 1

[0142] The above equipment is used to stabilize vital signs during emergency surgery, including automated external defibrillators, cardiopulmonary resuscitation devices, simple ventilators, onboard oxygen supply equipment, and micro-infusion pumps. Surgical instrument kits include monitors and electric suction device accessory kits, containing breathing masks, breathing valves, breathing tubing, respiratory pressure monitoring tubing, ECG leads, temperature sensors, inflatable blood pressure cuffs, pulse oximeters, suction bottles, suction tubing, and suction catheters for clearing airway obstructions. An equipment and medicine cabinet is used to store the above equipment and medicines described in subsequent chapters. In addition, the recommended basic quantities of onboard equipment for transporting general injured or ill patients are shown in Table 3. A carbon fiber enclosure is used to stabilize the operating table and provide outer edge protection.

[0143] Table 3 Recommended Basic Quantities of Airborne Equipment and Supplies for Transporting General Injuries and Illnesses

[0144] Serial Number name quantity Remark 1 First aid bandage 1 According to the injury condition 2 oropharyngeal airway 1-2 According to the injury condition 3 sterile wound dressings 1 According to the injury condition 4 Self-adhesive bandages 1-2 According to the injury condition 5 Medical tape 1 According to the injury condition 6 Roll adhesive tape 1 According to the injury condition 7 Roll-up plywood 4 According to the injury condition 8 Neck brace (adults, children) 2-4 According to the injury condition

[0145] Common maritime accidents include ship collisions, fires or explosions, grounding, stranding, sinking due to severe weather such as thunderstorms and blizzards, mechanical failures, or human error. These accidents are characterized by complex on-site rescue environments and diverse injuries. When determining the types and unit quantities of modular medicines, the medicine modules should be designed based on the treatment needs of maritime disasters and the therapeutic effects of the medicines, taking into account the following characteristics:

[0146] Emergency medical supplies carried by emergency responders must be easy to carry; the drugs must have clear pharmacological effects, be commonly used in clinical practice, and act rapidly; they must be able to provide targeted treatment for the characteristics of injuries sustained in maritime disasters; and the drugs must be easy to use, generally choosing oral or injectable formulations, and using the smallest possible packaging.

[0147] In the configuration of the medicine module for maritime emergency rescue, referring to "New Edition of Pharmacology," and considering the characteristics of maritime accidents and common disease types, as well as the practical experience of emergency medicine preparation by the 120 Emergency Rescue Center, the types and quantities of emergency medical medicines required for emergency medical rescue have been scientifically organized and determined. Commonly used emergency medicines include basic medications such as analgesics, anesthetics, anti-shock drugs, antiarrhythmic drugs, anti-heart failure drugs, and anti-allergy drugs. Considering that the main types of diseases that may occur in maritime accidents are concentrated in external injuries, fractures, vomiting and diarrhea, edema, blood loss, drowning, electrolyte and metabolic disorders, mental illness, circulatory disorders, malnutrition, and food poisoning, additional medicines such as antimicrobial drugs, external disinfectants, drugs for regulating acid-base balance and metabolic disorders, digestive system drugs, drugs for blood circulation disorders, central nervous system drugs, and nutritional support agents are added. The quantity of medicines should meet the needs of treatment at the scene and during transport of patients to the nearest medical unit. Maritime rescue is divided into three stages, and the list of rescue medicines for each stage is shown in Table 4.

[0148] Table 4. List of Rescue Medicines

[0149]

[0150] Injury analysis was conducted based on typical maritime accident scenarios, and medication plans were formulated according to the characteristics of each accident type as follows:

[0151] A collision accident refers to an incident in which two or more vessels collide, causing damage. Collisions can result in injuries, damage to vessels, and sinking. A list of medications required for collision accidents is shown in Table 5.

[0152] Table 5. List of Medicines for Collision Accidents

[0153]

[0154] A grounding accident refers to an incident in which a vessel becomes stranded on shallow water, causing navigation disruption or damage. The list of medications required for grounding accidents is shown in Table 6.

[0155] Table 6. List of Medicines for Stranded Accidents

[0156]

[0157] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A medical treatment device for a search and rescue type aircraft, characterized by, The application relates to a medical emergency treatment device, which comprises the following parts: a rewarming device, a vital sign monitoring device, an emergency treatment device and an on-board power supply; the rewarming device comprises a thermal blanket and a far-infrared rewarming bag, and is used for rewarming a user; the vital sign monitoring device is connected with the rewarming device and the emergency treatment device respectively, and comprises a sphygmomanometer, a heart rate measuring module, a body temperature measuring module, an oxygen saturation measuring module, a carbon dioxide sensor, an electrocardiogram measuring instrument and a vital sign evaluation module, and is used for monitoring the vital signs of the user; the emergency treatment device comprises an automatic external defibrillator, a cardiopulmonary resuscitation instrument, a simple breathing machine, an on-board oxygen supply device, an injection pump and a quantitative infusion pump, and is used for emergency treatment of the user; the on-board power supply is connected with the rewarming device, the vital sign monitoring device and the emergency treatment device respectively, and is used for providing power supply for the rewarming device, the vital sign monitoring device and the emergency treatment device; the vital sign evaluation module of the vital sign monitoring device is connected with the sphygmomanometer, the heart rate measuring module, the body temperature measuring module, the oxygen saturation measuring module, the carbon dioxide sensor and the electrocardiogram measuring instrument respectively, is used for evaluating the vital signs of the user according to the measurement values of the measuring modules and the sensors, and obtains a vital sign evaluation value set, which comprises: the vital sign evaluation module uses a body temperature evaluation model to evaluate and process a body temperature measurement sequence, and obtains a body temperature evaluation result value; uses a heart evaluation model to process an electrocardiogram measurement sequence and a heart rate measurement sequence, and obtains a heart evaluation result value; uses a respiration evaluation model to process an oxygen saturation sequence and a gas concentration sequence, and obtains a respiration evaluation result value; uses a vital sign evaluation model to process a blood pressure sequence, the heart rate measurement sequence, the body temperature measurement sequence, the oxygen saturation sequence, the gas concentration sequence and the electrocardiogram measurement sequence, and obtains a vital sign evaluation value, which comprises: obtains standard values of various physiological indexes; subtracts the blood pressure sequence, the heart rate measurement sequence, the body temperature measurement sequence, the oxygen saturation sequence, the gas concentration sequence and the electrocardiogram measurement sequence from corresponding standard values respectively, and obtains a blood pressure difference sequence, a heart rate difference sequence, a body temperature difference sequence, an oxygen saturation difference sequence, a gas concentration difference sequence and an electrocardiogram difference sequence; uses all the difference sequences to construct a difference matrix; a row vector of the difference matrix is a difference sequence; performs an analogy vector calculation processing on the difference matrix, and obtains an analogy vector; an expression of the analogy vector calculation processing is as follows: ， wherein, denotes an element of the difference matrix in the i-th row and j-th column, denotes an i-th element of the analogy vector, M is a column dimension of the difference matrix, and are a preset first weight value and a second weight value, respectively. performs an evaluation calculation processing on the analogy vector, and obtains a vital sign evaluation value; an expression of the evaluation calculation processing is as follows: ， wherein, pe is a vital sign assessment value, m is the row dimension of the difference matrix, is the mean of the i-th row of the difference matrix; the use of the body temperature evaluation model to evaluate and process the body temperature measurement sequence comprises the following steps: obtains a standard body temperature value; subtracts the standard body temperature value from the body temperature measurement sequence, and obtains a body temperature difference sequence; performs a body temperature evaluation calculation processing on the body temperature difference sequence, and obtains a body temperature evaluation result value; an expression of the body temperature evaluation calculation processing is as follows: ， wherein, is a body temperature assessment result value, is a standard body temperature value, is the jth element of a body temperature measurement sequence, denotes the jth element of a body temperature difference sequence, M is the length of the body temperature measurement sequence.

2. The medical treatment device for search and rescue type aircraft as claimed in claim 1, characterized in that, ​ The vital sign evaluation value set includes a body temperature evaluation result value, a heart evaluation result value, a respiration evaluation result value, and a vital sign evaluation value. The sphygmomanometer is configured to measure a blood pressure sequence of the user. The heart rate measurement module is configured to measure a heart rate measurement sequence of the user. The body temperature measurement module is configured to measure a body temperature measurement sequence of the user. The oxygen saturation measurement module is configured to measure a blood oxygen saturation sequence of the user. The carbon dioxide sensor is configured to measure a gas concentration sequence of carbon dioxide gas in the environment. The electrocardiogram measurement instrument is configured to measure an electrocardiogram measurement sequence of the user.

3. The medical treatment device for search and rescue type aircraft of claim 1, wherein, The heart evaluation model is configured to process the electrocardiogram measurement sequence and the heart rate measurement sequence to obtain the heart evaluation result value, including: The electrocardiogram measurement sequence and the heart rate measurement sequence are respectively subjected to feature statistical processing to obtain an electrocardiogram statistical value set and a heart rate statistical value set; the electrocardiogram statistical value set includes a mean value and a variance value of the electrocardiogram measurement sequence; and the heart rate statistical value set includes a median value and a mode value of the heart rate measurement sequence. The electrocardiogram statistical value set is subjected to electrocardiogram feature calculation processing to obtain an electrocardiogram feature value and an electrocardiogram weighting value. The heart rate statistical value set is subjected to heart rate feature calculation processing to obtain a heart rate feature value and a heart rate weighting value. The electrocardiogram feature value and the heart rate feature value are subjected to weighted summation processing by using the electrocardiogram weighting value and the heart rate weighting value to obtain the heart evaluation result value.

4. The medical treatment device for search and rescue type aircraft of claim 3, wherein, The expression of the electrocardiogram feature calculation processing is: ， ， wherein, represents an electrocardiographic weighting value, and respectively represent a mean and a variance; The expression of the heart rate feature calculation processing is: ， ， wherein, p and q respectively represent the median value and the mode value, and respectively represent the electrocardio feature value and the heart rate feature value, and respectively represent the 2nd order polynomial and the 3rd order polynomial of the first kind Chebyshev polynomial, represents the heart rate weighted value.

5. The medical treatment device for search and rescue type aircraft of claim 1, wherein, The respiration evaluation model is configured to process the blood oxygen saturation sequence and the gas concentration sequence to obtain a respiration evaluation result value, including: The blood oxygen saturation sequence and the gas concentration sequence are respectively subjected to transformation processing to obtain corresponding blood oxygen saturation transformation sequences and gas concentration transformation sequences. The blood oxygen saturation transformation sequences and the gas concentration transformation sequences are subjected to respiration evaluation calculation processing to obtain the respiration evaluation result value. The expression of the respiration evaluation calculation processing is: ， wherein is a respiratory assessment result value, and are the mean values of the blood oxygen saturation sequence and the gas concentration sequence, respectively, is a preset calculation factor, NO is the length of the blood oxygen saturation transform sequence, and are the nth terms of the blood oxygen saturation transform sequence and the gas concentration transform sequence, respectively. The expression of the transformation processing is: ， wherein S n is the nth term of the transform sequence, N is the length of the blood oxygen saturation sequence and the gas concentration sequence, x k is the kth term of the blood oxygen saturation sequence or the gas concentration sequence.​​ 6. The medical treatment device for search and rescue type aircraft of claim 1, wherein, The far-infrared rewarming bag includes a heating control module and a resistance module; the heating control module is configured to generate a heating current control amount according to the body temperature evaluation result value, and output a corresponding current to the resistance module according to the heating current control amount.

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