Medical post-sending system for search and rescue type aircraft and data processing method

Abstract

The invention discloses a medical post-delivery system for a search and rescue type aircraft and a data processing method. The medical post-delivery system comprises a stretcher station assembly, a hoisting assembly, monitoring equipment and a seat, the stretcher station assembly, the hoisting assembly, the monitoring device and the seat are all arranged in a cabin of the search and rescue type aircraft. The stretcher station assembly is detachably connected with the hoisting assembly and is used for transferring personnel; the hoisting assembly is used for hoisting and transferring the stretcher station assembly; the monitoring equipment is used for acquiring physiological parameter information of a person and processing the physiological parameter information of the person to obtain a physiological parameter evaluation value. Therefore, by implementing the medical post-delivery system for the search and rescue type aircraft and the data processing method, the transportation requirement of the wounded and the medical requirement in the post-delivery period can be met, so that an auxiliary effect on improving the treatment rate of the wounded is achieved, a guarantee is provided for the personal safety of offshore operation personnel, and development of the ocean industry is facilitated.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of marine emergency rescue, and in particular to a medical evacuation system for a search and rescue aircraft and a data processing method. BACKGROUND

[0002] With the continuous development of marine economy, more and more manpower and resources are invested in related industries such as marine transportation and seawater aquaculture. However, compared with land operations, the environment of marine operations is more complex, and adverse weather, natural disasters and other factors may be encountered, increasing the probability of accidents for marine operators.

[0003] The cabin of a traditional search and rescue aircraft is arranged in a single manner, and cannot be dynamically arranged according to actual task requirements and the carrying capacity of the aircraft. The transportation capacity is limited, and the medical equipment cannot well meet the rescue needs during evacuation. Therefore, increasing the transportation capacity of the search and rescue aircraft and improving the monitoring capacity of the medical equipment can timely transfer the rescued personnel to the land for subsequent treatment, reduce the treatment cycle of the rescued personnel, improve the success rate of rescue, and protect the life safety of the rescued personnel. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a medical evacuation system for a search and rescue aircraft and a data processing method, which better adapts to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded and efficiently and accurately obtaining physiological parameter information of the wounded, thereby assisting in improving the treatment rate of the wounded.

[0005] To solve the above technical problems, a medical evacuation system for a search and rescue aircraft is disclosed in the first aspect of the present application, which comprises a stretcher station assembly, a hoisting assembly, a monitoring device and a seat.

[0006] The stretcher station assembly, the hoisting assembly, the monitoring device and the seat are all arranged in the cabin of the search and rescue aircraft.

[0007] The stretcher station assembly and the hoisting assembly are detachably connected, and are used for transferring personnel.

[0008] The hoisting assembly is used for hoisting and transferring the stretcher station assembly.

[0009] The monitoring device is used for obtaining physiological parameter information of personnel and processing the physiological parameter information of the personnel to obtain a physiological parameter evaluation value.

[0010] The stretcher station assembly comprises a stretcher station, a stretcher and a safety belt. The stretcher station is detachably connected with the stretcher, and the safety belt is arranged on the stretcher.

[0011] The lifting assembly comprises a lifting device, a walking device and a guide rail;

[0012] The lifting device is detachably connected with the stretcher station assembly, and is used for lifting and transferring the stretcher station assembly;

[0013] The walking device is fixedly connected with the lifting device, and is used for providing stable support for the lifting device, so as to ensure smooth, accurate and safe lifting operation during lifting and transferring of the stretcher station assembly;

[0014] The guide rail is slidably connected with the walking device, and is used for providing a track for the walking device, so that the walking device slides on the guide rail, thereby realizing positioning, lifting and transferring of the lifting device.

[0015] As an optional implementation, in the first aspect of the embodiment of the present application, the stretcher station comprises a stretcher station body and a stretcher station support;

[0016] The stretcher station body is detachably fixedly connected with the stretcher station support, and is used for fixing the stretcher station support;

[0017] The stretcher station support has a plurality of stretcher station supports, and each stretcher station support is detachably connected with one stretcher.

[0018] As an optional implementation, in the first aspect of the embodiment of the present application, the monitoring device comprises a heart rate sensor, an oxygen saturation sensor, a respiratory rate sensor, a body temperature sensor and a data processing unit;

[0019] The heart rate sensor is electrically connected with the data processing unit, and is used for acquiring heart rate information and sending the heart rate information to the data processing unit;

[0020] The oxygen saturation sensor is electrically connected with the data processing unit, and is used for acquiring oxygen saturation information and sending the oxygen saturation information to the data processing unit;

[0021] The respiratory rate sensor is electrically connected with the data processing unit, and is used for acquiring respiratory rate information and sending the respiratory rate information to the data processing unit;

[0022] The body temperature sensor is electrically connected with the data processing unit, and is used for acquiring body temperature information and sending the body temperature information to the data processing unit;

[0023] The data processing unit processes the heart rate information, the oxygen saturation information, the respiratory rate information and the body temperature information to obtain a physiological parameter evaluation value.

[0024] As an optional implementation, in the first aspect of the embodiment of the present application, the data processing unit, processing the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information to obtain the physiological parameter evaluation value, is configured to perform the following steps:

[0025] S1, preprocessing the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information and preprocessed body temperature information;

[0026] S2, analyzing and processing the preprocessed heart rate information, the preprocessed blood oxygen saturation information, the preprocessed respiratory rate information and the preprocessed body temperature information to obtain a heart rate score value, a blood oxygen saturation score value, a respiratory rate score value and a body temperature score value;

[0027] S3, fusing the heart rate score value, the blood oxygen saturation score value, the respiratory rate score value and the body temperature score value to obtain the physiological parameter evaluation value.

[0028] As an optional implementation, in the first aspect of the embodiment of the present application, the preprocessing the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information and preprocessed body temperature information, comprises:

[0029] S11, denoising the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information to obtain first heart rate information, first blood oxygen saturation information, first respiratory rate information and first body temperature information;

[0030] S12, detecting outliers of the first heart rate information, the first blood oxygen saturation information, the first respiratory rate information and the first body temperature information to obtain second heart rate information, second blood oxygen saturation information, second respiratory rate information and second body temperature information;

[0031] S13, time aligning the second heart rate information, the second blood oxygen saturation information, the second respiratory rate information and the second body temperature information to obtain the preprocessed heart rate information, the preprocessed blood oxygen saturation information, the preprocessed respiratory rate information and the preprocessed body temperature information.

[0032] As an optional implementation, in the first aspect of the embodiment of the present application, the analysis and processing of the pre-processed heart rate information, the pre-processed blood oxygen saturation information, the pre-processed respiratory rate information and the pre-processed body temperature information to obtain a heart rate score value, a blood oxygen saturation score value, a respiratory rate score value and a body temperature score value comprises:

[0033] S21, processing the pre-processed heart rate information to obtain a heart rate score value;

[0034] S22, processing the pre-processed blood oxygen saturation information to obtain a blood oxygen saturation score value;

[0035] S23, processing the pre-processed respiratory rate information to obtain a respiratory rate score value;

[0036] S24, processing the pre-processed body temperature information to obtain a body temperature score value.

[0037] As an optional implementation, in the first aspect of the embodiment of the present application, the processing of the pre-processed heart rate information to obtain a heart rate score value comprises:

[0038] S211, performing mean value calculation processing on the pre-processed heart rate information to obtain a heart rate mean value;

[0039] S212, performing time domain analysis processing on the pre-processed heart rate information and the heart rate mean value to obtain a first heart rate value;

[0040] S213, performing frequency domain analysis processing on the pre-processed heart rate information to obtain a second heart rate value;

[0041] S214, performing fusion processing on the heart rate mean value, the first heart rate value and the second heart rate value to obtain a third heart rate value;

[0042] S215, processing the third heart rate value to obtain a heart rate score value.

[0043] As an optional implementation, in the first aspect of the embodiment of the present application, the processing of the pre-processed blood oxygen saturation information to obtain a blood oxygen saturation score value comprises:

[0044] S221, performing calculation processing on the pre-processed blood oxygen saturation information to obtain a first blood oxygen saturation value;

[0045] S222, performing linear regression calculation processing on the pre-processed blood oxygen saturation information to obtain a second blood oxygen saturation value;

[0046] S223, processing the first blood oxygen saturation value and the second blood oxygen saturation value to obtain a third blood oxygen saturation value;

[0047] S224, processing the third blood oxygen saturation value to obtain a blood oxygen saturation score value.

[0048] As an optional implementation, in the first aspect of the embodiment of the present application, the fusion processing of the heart rate score value, the blood oxygen saturation score value, the respiratory rate score value and the body temperature score value to obtain the physiological parameter evaluation value comprises:

[0049] The heart rate score value, the blood oxygen saturation score value, the respiratory rate score value and the body temperature score value are fused by using a physiological parameter fusion calculation model to obtain the physiological parameter evaluation value.

[0050] The physiological parameter fusion calculation model is:

[0051] SLCS = δ4·HRSCORE + δ5·XYSCORE + δ6·HXSCORE + δ7·TWSCORE.

[0052] δ4 + δ5 + δ6 + δ7 = 1.

[0053] 0.2 ≤ δ4 ≤ 0.4.

[0054] 0.3 ≤ δ5 ≤ 0.5.

[0055] 0.1 ≤ δ6 ≤ 0.3.

[0056] 0.1 ≤ δ7 ≤ 0.3.

[0057] In the formula, SLCS is the physiological parameter evaluation value, HRSCORE, XYSCORE, HXSCORE and TWSCORE are respectively the heart rate score value, the blood oxygen saturation score value, the respiratory rate score value and the body temperature score value, and δ4, δ5, δ6 and δ7 are respectively a fourth weight parameter, a fifth weight parameter, a sixth weight parameter and a seventh weight parameter.

[0058] The second aspect of the embodiment of the present application discloses a medical evacuation data processing method for a search and rescue type aircraft, which is applied to the medical evacuation system for the search and rescue type aircraft disclosed in the first aspect of the embodiment of the present application, and the method comprises:

[0059] H1, acquiring heart rate information by using a heart rate sensor and sending the heart rate information to a data processing unit;

[0060] H2, acquiring blood oxygen saturation information by using a blood oxygen saturation sensor and sending the blood oxygen saturation information to the data processing unit;

[0061] H3, acquiring breathing frequency information by using a breathing frequency sensor, and sending the breathing frequency information to the data processing unit;

[0062] H4, acquiring body temperature information by using a body temperature sensor, and sending the body temperature information to the data processing unit;

[0063] H5, processing the heart rate information, the blood oxygen saturation information, the breathing frequency information and the body temperature information by using the data processing unit to obtain a physiological parameter evaluation value.

[0064] Compared with the prior art, the embodiment of the present application has the following beneficial effects:

[0065] 1、The medical evacuation system is deployed on a search and rescue aircraft, which can better adapt to rescue tasks in various environments, meet the transportation needs of the wounded and the medical needs during evacuation, thereby assisting in improving the cure rate of the wounded, providing protection for the personal safety of offshore workers, and being beneficial to the development of the marine industry.

[0066] 2、The monitoring device in the medical evacuation system can monitor the heart rate information, blood oxygen saturation information, breathing frequency information and body temperature information of the wounded in real time, and then process these information, so as to efficiently and accurately obtain the physiological parameter information of the wounded, thereby assisting in improving the cure rate of the wounded.

[0067] 3、The medical evacuation data processing method can monitor the heart rate information, blood oxygen saturation information, breathing frequency information and body temperature information of the wounded in real time by the monitoring device in the medical evacuation system, and then process these information, so as to efficiently and accurately obtain the physiological parameter information of the wounded, thereby assisting in improving the cure rate of the wounded. BRIEF DESCRIPTION OF DRAWINGS

[0068] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0069] Figure 1 The front view of the stretcher station assembly of the medical evacuation equipment system disclosed in the embodiment of the present application is unfolded;

[0070] Figure 2 The front view of the stretcher station assembly of the medical evacuation equipment system disclosed in the present application is folded;

[0071] Figure 3Figure 1 is a top view of a stretcher station assembly in a medical evacuation equipment system according to an embodiment of the present application;

[0072] Figure 4 Figure 2 is a structural diagram of a seat in a medical evacuation equipment system according to an embodiment of the present application;

[0073] Figure 5 Figure 3 is a structural diagram of a guide rail in a medical evacuation equipment system according to an embodiment of the present application;

[0074] Figure 6 Figure 4 is a structural diagram of a walking device and lifting device in a medical evacuation equipment system according to an embodiment of the present application;

[0075] Figure 7 Figure 5 is a schematic diagram of a medical evacuation data processing method for a search and rescue aircraft according to an embodiment of the present application.

[0076] Figure 8 Figure 6 is a structural diagram of a medical evacuation data processing device for a search and rescue aircraft according to an embodiment of the present application.

[0077] BRIEF DESCRIPTION OF DRAWINGS

[0078] 1, stretcher station assembly; 11, stretcher station; 111, stretcher station main body; 112, stretcher station support; 12, stretcher; 21, lifting device; 211, winch unit; 212, detachable pull rod; 213, rotating lifting hook; 214, handheld controller; 22, walking device; 23, guide rail; 3, seat. DETAILED DESCRIPTION

[0079] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor fall within the scope of protection of the present application.

[0080] The terms "first", "second", etc. in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or equipment including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or equipment.

[0081] The terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise" and the like in the description and claims and the above drawings indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0082] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive or alternative embodiments. It is explicitly contemplated that embodiments described herein can be combined with other embodiments.

[0083] Embodiment one

[0084] Reference Figures 1-6 , the application provides a medical evacuation system for a search and rescue aircraft, comprising a stretcher station assembly, a hoisting assembly, a monitoring device and a seat;

[0085] The stretcher station assembly, the hoisting assembly, the monitoring device and the seat are all arranged in the cabin of the search and rescue aircraft;

[0086] The stretcher station assembly and the hoisting assembly are detachably connected, and are used for transferring the personnel;

[0087] The hoisting assembly is used for hoisting and transferring the stretcher station assembly;

[0088] The monitoring device is used for acquiring physiological parameter information of the personnel, and processing the physiological parameter information to obtain a physiological parameter evaluation value;

[0089] The stretcher station assembly comprises a stretcher station, a stretcher and a safety belt; the stretcher station and the stretcher are detachably connected, and the safety belt is arranged on the stretcher;

[0090] The hoisting assembly comprises a hoisting device, a walking device and a guide rail;

[0091] The hoisting device and the stretcher station assembly are detachably connected, and are used for hoisting and transferring the stretcher station assembly;

[0092] The walking device is fixedly connected with the hoisting device, and is used for providing stable support for the hoisting device, so as to ensure the smoothness, accuracy and safety of the hoisting operation during hoisting and transferring of the stretcher station assembly by the hoisting device;

[0093] The guide rail is slidably connected with the walking device, and is used for providing a track for the walking device, so that the walking device slides on the guide rail, thereby realizing positioning, hoisting and transferring of the hoisting device.

[0094] It should be noted that the stretcher station assembly main structure adopts quick-release connection, and the equipment can be assembled from a scattered part state to a working state in a short time. Each set of stretcher station assembly can transport 3 wounded personnel. The stretcher can be additionally provided with a floating block to facilitate the water surface transfer of the rescued personnel.

[0095] It should be noted that, due to the limited space of the search and rescue aircraft, the stretcher and the stretcher station assembly support mounting interface are consistent with the seat mounting interface, and the mounting interface is universalized, facilitating quick disassembly and assembly in the search and rescue aircraft.

[0096] It should be noted that the system can adopt various arrangement modes according to the task requirement and the carrying capacity of the search and rescue aircraft, for example, all the stretcher station assemblies are additionally provided in the cabin of the search and rescue aircraft, or all the seats are additionally provided, or the mixed form of “stretcher + seat” is adopted to arrange the stretcher and the seat in the cabin of the search and rescue aircraft to transport the wounded and sick personnel.

[0097] It should be noted that the hoisting device can hoist the stretcher (including personnel) to an appropriate height and then pull it to the cabin of the aircraft along the guide rail. During hoisting, the cabin section of the guide rail is installed first, and then the hoisting device and the walking device are combined and installed on the guide rail, so that the out-cabin section of the guide rail is connected with the in-cabin section of the guide rail and is fixed. The walking device is pulled to the outside of the cabin, and the floating stretcher is lifted to an appropriate height by using the hoisting device, so that the stretcher rotates in the air around the steel wire rope to a position where the stretcher can enter the cabin door, and the walking device is pulled into the cabin.

[0098] It can be seen that the medical evacuation system for the search and rescue aircraft described in the embodiment of the present application better adapts to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded personnel and efficiently and accurately obtaining physiological parameter information of the wounded personnel, thereby playing an auxiliary role in improving the cure rate of the wounded personnel.

[0099] In an optional embodiment, the stretcher station includes a stretcher station body and a stretcher station support;

[0100] The stretcher station body is detachably fixedly connected with the stretcher station support, and is used for fixing the stretcher station support. The stretcher station support has a plurality of stretcher station supports, and each stretcher station support is detachably connected with one stretcher.

[0101] It can be seen that the medical evacuation system for the search and rescue aircraft described in the embodiment of the present application better adapts to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded personnel and efficiently and accurately obtaining physiological parameter information of the wounded personnel, thereby playing an auxiliary role in improving the cure rate of the wounded personnel.

[0102] In an optional embodiment, the monitoring device comprises a heart rate sensor, an oxygen saturation sensor, a respiratory rate sensor, a body temperature sensor and a data processing unit;

[0103] The heart rate sensor is electrically connected to the data processing unit, for acquiring heart rate information and sending the heart rate information to the data processing unit;

[0104] The oxygen saturation sensor is electrically connected to the data processing unit, for acquiring oxygen saturation information and sending the oxygen saturation information to the data processing unit;

[0105] The respiratory rate sensor is electrically connected to the data processing unit, for acquiring respiratory rate information and sending the respiratory rate information to the data processing unit;

[0106] The body temperature sensor is electrically connected to the data processing unit, for acquiring body temperature information and sending the body temperature information to the data processing unit;

[0107] The data processing unit processes the heart rate information, the oxygen saturation information, the respiratory rate information and the body temperature information to obtain a physiological parameter evaluation value.

[0108] It should be noted that when the wounded person is transported into the cabin of the search and rescue aircraft, the heart rate sensor, the oxygen saturation sensor, the respiratory rate sensor and the body temperature sensor can be arranged on the wounded person to collect the heart rate information, the oxygen saturation information, the respiratory rate information and the body temperature information, and send the information to the data processing unit arranged in the cabin;

[0109] It should be noted that the data processing unit can be a desktop computer, a notebook computer, a tablet computer or the like, and can process the collected heart rate information, oxygen saturation information, respiratory rate information and body temperature information. Specifically, the present embodiment is not limited.

[0110] It can be seen that the medical evacuation system for the search and rescue aircraft described in the present embodiment is better adapted to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded and efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the cure rate of the wounded.

[0111] In an optional embodiment, the data processing unit processes the heart rate information, the oxygen saturation information, the respiratory rate information and the body temperature information to obtain a physiological parameter evaluation value, which is obtained by the data processing unit performing the following steps:

[0112] S1, preprocessing the heart rate information, the oxygen saturation information, the respiratory rate information and the body temperature information to obtain preprocessed heart rate information, preprocessed oxygen saturation information, preprocessed respiratory rate information and preprocessed body temperature information;

[0113] S2, analyzing and processing the pre-processed heart rate information, pre-processed blood oxygen saturation information, pre-processed respiratory rate information and pre-processed body temperature information to obtain a heart rate score value, a blood oxygen saturation score value, a respiratory rate score value and a body temperature score value;

[0114] S3, performing fusion processing on the heart rate score value, the blood oxygen saturation score value, the respiratory rate score value and the body temperature score value to obtain a physiological parameter evaluation value.

[0115] It can be seen that the medical evacuation system for search and rescue aircraft described in the embodiments of the present application is better adapted to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded and efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the cure rate of the wounded.

[0116] In an optional embodiment, the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information are pre-processed to obtain the pre-processed heart rate information, the pre-processed blood oxygen saturation information, the pre-processed respiratory rate information and the pre-processed body temperature information, including:

[0117] S11, performing denoising processing on the heart rate information, the blood oxygen saturation information, the respiratory rate information and the body temperature information to obtain first heart rate information, first blood oxygen saturation information, first respiratory rate information and first body temperature information;

[0118] It should be noted that the above denoising processing can be processed using Kalman filtering, median filtering, adaptive filtering or other methods. Specifically, the embodiments of the present application are not limited.

[0119] It should be noted that the above denoising processing, when denoising the heart rate information, can use Kalman filtering combined with moving average filtering, when denoising the blood oxygen saturation information, can use wavelet denoising combined with adaptive filtering, when denoising the respiratory rate information, can use median filtering combined with moving average method, and when denoising the body temperature information, can use median filtering. Through this multi-level and multi-method denoising processing method, the uniqueness of different physiological parameters can be fully reflected, and more accurate basic data can be provided in the fusion stage.

[0120] S12, performing outlier detection processing on the first heart rate information, the first blood oxygen saturation information, the first respiratory rate information and the first body temperature information to obtain second heart rate information, second blood oxygen saturation information, second respiratory rate information and second body temperature information;

[0121] It should be noted that the above outlier detection processing can use threshold method, sliding window detection and other methods for outlier detection processing. Specifically, the embodiments of the present application are not limited. Through the outlier detection processing, the accuracy, stability and reliability of the physiological parameter data can be significantly improved.

[0122] S13, the second heart rate information, the second blood oxygen saturation information, the second respiratory frequency information and the second temperature information are time aligned to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory frequency information and preprocessed temperature information.

[0123] It should be noted that the above time alignment processing can be processed using nearest neighbor interpolation method and timestamp calibration. Specifically, the embodiments of the present application are not limited.

[0124] It should be noted that the time alignment processing is to unify the asynchronous data collected by multiple different sensors in the time dimension, to ensure that the physiological parameters (such as heart rate, blood oxygen, respiratory rate, body temperature) can be effectively fused at the same time point, so as to obtain more accurate health status evaluation results.

[0125] It can be seen that the medical evacuation system for search and rescue aircraft described in the embodiments of the present application better adapts to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded and efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the cure rate of the wounded.

[0126] In an optional embodiment, the preprocessed heart rate information, the preprocessed blood oxygen saturation information, the preprocessed respiratory frequency information and the preprocessed temperature information are analyzed and processed to obtain heart rate score value, blood oxygen saturation score value, respiratory frequency score value and temperature score value, including:

[0127] S21, the preprocessed heart rate information is processed to obtain the heart rate score value;

[0128] S22, the preprocessed blood oxygen saturation information is processed to obtain the blood oxygen saturation score value;

[0129] S23, the preprocessed respiratory frequency information is processed to obtain the respiratory frequency score value;

[0130] S24, the preprocessed temperature information is processed to obtain the temperature score value.

[0131] It can be seen that the medical evacuation system for search and rescue aircraft described in the embodiments of the present application better adapts to rescue tasks in various environments, is conducive to meeting the transportation needs of the wounded and efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the cure rate of the wounded.

[0132] In an optional embodiment, the preprocessed heart rate information is processed to obtain a heart rate score, including:

[0133] S211, Perform mean calculation on the preprocessed heart rate information to obtain the mean heart rate;

[0134] S212, perform time-domain analysis on the preprocessed heart rate information and the mean heart rate to obtain the first heart rate value;

[0135] It should be noted that time-domain analysis is performed on the preprocessed heart rate information and the mean heart rate to obtain the first heart rate value, including:

[0136] Using a time-domain analysis calculation model, the preprocessed heart rate information and mean heart rate are subjected to time-domain analysis to obtain the first heart rate value;

[0137] The time-domain analysis calculation model is as follows:

[0138]

[0139] In the formula, DIXL is the initial heart rate value, YXLP is the mean heart rate, and YXL is the preprocessed heart rate information. i1 δ1 is the i1th preprocessed heart rate value in the preprocessed heart rate information, N1 is the number of preprocessed heart rate values ​​in the preprocessed heart rate information, δ1 is the first weighting parameter, and τ is the heart rate deviation coefficient.

[0140] It should be noted that the first weighting parameter and the heart rate deviation coefficient can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specifics.

[0141] It should be noted that the first weight parameter has a value range of [0.9, 1.1] and is used to adjust the weight of the calculation result in the overall model. The heart rate deviation coefficient has a value range of [-5, 5] and is used to fine-tune the heart rate calculation result and correct deviations to correct errors caused by the system or data source.

[0142] It should be noted that the time-domain analysis calculation model exhibits high flexibility and stability in heart rate feature extraction. By introducing the first weight parameter and the heart rate deviation coefficient, it can effectively analyze and process heart rate data in different scenarios, providing strong support for subsequent health status assessment.

[0143] S213, perform frequency domain analysis on the preprocessed heart rate information to obtain the second heart rate value;

[0144] It should be noted that the above frequency domain analysis and processing can be obtained by using Fast Fourier Transform or other methods. Specifically, the embodiments of the present invention do not limit the specific methods.

[0145] S214, the mean heart rate, the first heart rate value, and the second heart rate value are fused to obtain the third heart rate value;

[0146] It should be noted that the above fusion process involves averaging the first and second heart rate values ​​to obtain the third heart rate value.

[0147] S215 processes the third heart rate value to obtain the heart rate score.

[0148] It should be noted that the third heart rate value is processed to obtain a heart rate score, including:

[0149] The third heart rate value is processed using a heart rate calculation model to obtain a heart rate score.

[0150] The heart rate calculation model is as follows:

[0151]

[0152] HRSCORE is the heart rate score, and DSXL is the third heart rate score.

[0153] It should be noted that the normal range for heart rate is 60-100, with 80 being the average of the normal range. The heart rate calculation model can directly convert heart rate values ​​into a score, making it easy for medical professionals or ordinary users to understand. It intuitively maps heart rate status to a score range of 0-100, facilitating display and interpretation.

[0154] It is evident that implementing the medical evacuation system for search and rescue aircraft described in the embodiments of the present invention better adapts to rescue missions in various environments, helps meet the needs of transporting the wounded, and efficiently and accurately obtains the physiological parameters of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0155] In an optional embodiment, the preprocessed blood oxygen saturation information is processed to obtain a blood oxygen saturation score, including:

[0156] S221, Calculate and process the preprocessed blood oxygen saturation information to obtain the first blood oxygen saturation value;

[0157] It should be noted that the above calculations are obtained through a moving average algorithm, and the specific implementation of this invention is not limited thereto.

[0158] It should be noted that by using moving averages, data fluctuations can be effectively reduced, measurement accuracy improved, and a more stable assessment of health status provided.

[0159] S222, perform linear regression calculation on the preprocessed blood oxygen saturation information to obtain the second blood oxygen saturation value;

[0160] It should be noted that linear regression calculation is simple, intuitive, easy to understand, computationally efficient, and the results are highly interpretable. It can also handle large amounts of data, and is especially suitable for situations where there is a significant linear relationship in blood oxygen saturation information.

[0161] S223, process the first blood oxygen saturation value and the second blood oxygen saturation value to obtain the third blood oxygen saturation value;

[0162] It should be noted that the first and second blood oxygen saturation values ​​are processed to obtain the third blood oxygen saturation value, which includes:

[0163] Using a blood oxygen saturation calculation model, the first and second blood oxygen saturation values ​​are processed to obtain the third blood oxygen saturation value.

[0164] The blood oxygen saturation calculation model is as follows:

[0165] DSBH = δ2·DYBH + δ3·DEBH;

[0166] δ2+δ3=1;

[0167] 0≤δ2,δ3≤1;

[0168] Wherein, DSBH is the third blood oxygen saturation value, DYBH and DEBH are the first and second blood oxygen saturation values, respectively, and δ2 and δ3 are the second and third weighting parameters, respectively.

[0169] It should be noted that the second and third weight parameters can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specifics.

[0170] For example, the values ​​of the second and third weight parameters are both 0.5.

[0171] S224 processes the third blood oxygen saturation value to obtain the blood oxygen saturation score.

[0172] It should be noted that the third blood oxygen saturation value is processed to obtain the blood oxygen saturation score, which includes:

[0173] The third blood oxygen saturation value was processed using a blood oxygen saturation scoring model to obtain the blood oxygen saturation score.

[0174] The blood oxygen saturation score calculation model is as follows:

[0175]

[0176] In the formula, XYSCORE is the blood oxygen saturation score, and DSBH is the third blood oxygen saturation score.

[0177] It should be noted that the normal range for blood oxygen saturation is 95%-100%. By converting blood oxygen saturation into a scoring value, the blood oxygen saturation scoring calculation model not only makes blood oxygen status assessment more intuitive and easier to understand, but also highlights the health hazards of low blood oxygen and enhances the sensitivity to dynamic changes. This provides doctors with real-time and accurate decision support, improving treatment efficiency. Furthermore, it is easy to combine with other health indicators, helping to comprehensively assess the patient's health status.

[0178] It is evident that implementing the medical evacuation system for search and rescue aircraft described in the embodiments of the present invention better adapts to rescue missions in various environments, helps meet the needs of transporting the wounded, and efficiently and accurately obtains the physiological parameters of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0179] In an optional embodiment, the preprocessed respiratory rate information is processed to obtain a respiratory rate score, including:

[0180] S231, perform wavelet transform processing on the preprocessed respiratory rate information to obtain respiratory rate fluctuation information;

[0181] S232, calculates and processes the respiratory rate fluctuation information to obtain the respiratory rate value;

[0182] It should be noted that the respiratory rate fluctuation information is calculated and processed to obtain the respiratory rate value, including:

[0183] The respiratory rate calculation model is used to calculate and process the respiratory rate fluctuation information to obtain the respiratory rate value;

[0184] The respiratory rate calculation model is as follows:

[0185]

[0186] 0≤ω i2 ≤1 1≤i2≤N2;

[0187]

[0188] In the formula, HXRR is the respiratory rate value, and HXBD is the respiratory rate value. i2 ω represents the i2th respiratory rate fluctuation feature value in the respiratory rate fluctuation information. i2 N2 represents the weight corresponding to the i2th respiratory rate fluctuation feature value in the respiratory rate fluctuation information, and N2 represents the number of respiratory rate fluctuation feature values ​​in the respiratory rate fluctuation information.

[0189] It should be noted that, The specific values ​​of 1≤i2≤N2 can be user-defined or obtained from historical data; for example,

[0190] S233 processes the respiratory rate value to obtain the respiratory rate score.

[0191] It should be noted that the respiratory rate values ​​are processed to obtain a respiratory rate score, which includes:

[0192] The respiratory rate score is obtained by processing the respiratory rate value using a respiratory rate score calculation model.

[0193] The respiratory rate score calculation model is as follows:

[0194]

[0195] In the formula, HXSCORE is the respiratory rate score and HXPL is the respiratory rate.

[0196] It should be noted that the normal range for respiratory rate is 12-20, where 16 is the mean of the normal range. The respiratory rate scoring model can directly convert respiratory rate into a score, making it easy for medical personnel or ordinary users to understand. It intuitively maps respiratory rate to a score range of 0-100, facilitating display and interpretation.

[0197] It is evident that implementing the medical evacuation system for search and rescue aircraft described in the embodiments of the present invention better adapts to rescue missions in various environments, helps meet the needs of transporting the wounded, and efficiently and accurately obtains the physiological parameters of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0198] In an optional embodiment, the preprocessed body temperature information is processed to obtain a body temperature score, including:

[0199] S241, Perform Kalman filtering on the preprocessed body temperature information to obtain the first body temperature value;

[0200] It should be noted that the Kalman filtering process described above effectively removes noise from body temperature data, especially measurement errors that often accompany real-time monitoring. Kalman filtering extracts more accurate and stable body temperature information, avoiding interference caused by sensor errors or other external factors. Furthermore, Kalman filtering uses a state-space model to describe the body temperature change process, while combining it with a measurement model to correct the temperature estimate. It considers not only the sensor's measurement values ​​but also system dynamics (such as the trend of body temperature changes) to improve the estimate. Therefore, compared to traditional smoothing methods, it is more accurate and reflects reality. In addition, it has significant advantages in improving the real-time performance and accuracy of medical monitoring in complex or dynamically changing environments.

[0201] S242, process the first body temperature value to obtain the body temperature score value.

[0202] It should be noted that the initial body temperature value is processed to obtain a body temperature score, including:

[0203] The body temperature score is obtained by processing the first body temperature value using a body temperature scoring model.

[0204] The body temperature scoring calculation model is as follows:

[0205]

[0206] Among them, TWSCORE is the body temperature score, and DYTW is the first body temperature value.

[0207] It should be noted that the normal range for body temperature is 36.5℃-37.5℃, with 37℃ being the average of the normal range. The body temperature scoring model can directly convert body temperature into a score, making it easy for medical personnel or ordinary users to understand. It intuitively maps body temperature to a score range of 0-100, facilitating display and interpretation.

[0208] It is evident that implementing the medical evacuation system for search and rescue aircraft described in the embodiments of the present invention better adapts to rescue missions in various environments, helps meet the needs of transporting the wounded, and efficiently and accurately obtains the physiological parameters of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0209] In an optional embodiment, the heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score are fused to obtain physiological parameter assessment values, including:

[0210] Using a physiological parameter fusion calculation model, heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score are fused to obtain physiological parameter evaluation values.

[0211] The physiological parameter fusion calculation model is as follows:

[0212] SLCS=δ4·HRSCORE+δ5·XYSCORE+δ6·HXSCORE+δ7·TWSCORE;

[0213] δ4+δ5+δ6+δ7=1;

[0214] 0.2≤δ4≤0.4;

[0215] 0.3≤δ5≤0.5;

[0216] 0.1≤δ6≤0.3;

[0217] 0.1≤δ7≤0.3;

[0218] In the formula, SLCS is the physiological parameter assessment value, HRSCORE, XYSCORE, HXSCORE and TWSCORE are the heart rate score, blood oxygen saturation score, respiratory rate score and body temperature score respectively, and δ4, δ5, δ6 and δ7 are the fourth weight parameter, the fifth weight parameter, the sixth weight parameter and the seventh weight parameter respectively.

[0219] It should be noted that the fourth, fifth, sixth, and seventh weight parameters can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specific weight parameters.

[0220] It should be noted that, since changes in heart rate can rapidly affect health status, the value range of the fourth weighting parameter can be set to [0.2, 0.4]; since changes in blood oxygen have a significant impact on health, especially in cases of hypoxia, this weight needs to be increased, and the value range of the fifth weighting parameter can be set to [0.3, 0.5]; respiratory rate is closely related to changes in body temperature, but compared to heart rate and blood oxygen saturation, its impact on health assessment is slightly lower, and the value ranges of the sixth and seventh weighting parameters can both be set to [0.1, 0.3].

[0221] It's important to note that different physiological parameters (such as heart rate, blood oxygen saturation, and body temperature) have varying degrees of impact on health. Setting weight ranges allows the model to better adapt to changes in various physiological signals. For example, changes in blood oxygen saturation typically have a significant impact on health, especially under hypoxic conditions, where blood oxygen saturation scores contribute significantly to overall health assessments; therefore, a higher weight can be assigned to blood oxygen. Conversely, while abnormal body temperature has a substantial impact on health, changes in body temperature are relatively slow, generally less rapid than changes in heart rate and blood oxygen saturation; therefore, its weight can be relatively lower.

[0222] It should be noted that by setting the value range for each weight, the contribution of each physiological parameter in health assessment can be adjusted more precisely, optimizing the flexibility, adaptability, and accuracy of the assessment model, and ensuring that the influence of each parameter is reasonably reflected in the comprehensive assessment of multiple physiological parameters. In particular, dynamically adjusting the weights according to the uniqueness of the parameters, their range, and the needs of practical applications can improve the model's accuracy in different scenarios, thereby enhancing the ability to analyze and process complex physiological data.

[0223] It should be noted that physiological parameter assessment values ​​can be used to evaluate an individual's health status. An example assessment method is as follows:

[0224] Normal: When the physiological parameter assessment value is greater than a certain normal threshold (e.g., 90 points), it indicates that the health status is good.

[0225] Mild adverse condition: When the physiological parameter assessment value is in a certain middle range (e.g., between 70 and 90 points), it indicates that there is a minor problem with the health condition that needs attention, but is not life-threatening.

[0226] Severe adverse condition: When the physiological parameter assessment value is below a certain threshold (e.g., below 70 points), it indicates that there may be a serious problem with the health condition and that immediate intervention is required.

[0227] It is evident that implementing the medical evacuation system for search and rescue aircraft described in the embodiments of the present invention better adapts to rescue missions in various environments, helps meet the needs of transporting the wounded, and efficiently and accurately obtains the physiological parameters of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0228] Example 2

[0229] Please see Figure 7 , Figure 7 This is a flowchart illustrating a medical evacuation data processing method for search and rescue aircraft, as disclosed in an embodiment of the present invention. Figure 7 The described medical evacuation data processing method for search and rescue aircraft is applied to a medical evacuation data processing device for search and rescue aircraft, such as a local server or cloud server for optimized management of medical evacuation data processing for search and rescue aircraft. This invention is not limited to this specific application. Figure 1 As shown, the medical evacuation data processing method for search and rescue aircraft is applied to the medical evacuation system for search and rescue aircraft in Embodiment 1, specifically to the monitoring equipment in the medical evacuation system. The method includes the following operations:

[0230] It should be noted that medical evacuation data refers to various physiological parameters, patient information, and medical data collected during emergency medical transport to support the treatment and monitoring of the wounded and sick.

[0231] H1 uses a heart rate sensor to acquire heart rate information and sends the heart rate information to the data processing unit;

[0232] H2 uses a blood oxygen saturation sensor to acquire blood oxygen saturation information and sends the blood oxygen saturation information to the data processing unit;

[0233] H3 uses a respiratory rate sensor to acquire respiratory rate information and sends the respiratory rate information to the data processing unit;

[0234] H4 uses a body temperature sensor to acquire body temperature information and sends the body temperature information to the data processing unit;

[0235] H5 uses a data processing unit to process heart rate, blood oxygen saturation, respiratory rate, and body temperature information to obtain physiological parameter evaluation values.

[0236] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0237] In an optional embodiment, the data processing unit processes the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information to obtain physiological parameter evaluation values, including:

[0238] H51 preprocesses heart rate, blood oxygen saturation, respiratory rate, and body temperature information to obtain preprocessed heart rate, blood oxygen saturation, respiratory rate, and body temperature information.

[0239] H52 analyzes and processes preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information to obtain heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score.

[0240] H53 integrates heart rate scores, blood oxygen saturation scores, respiratory rate scores, and body temperature scores to obtain physiological parameter assessment values.

[0241] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0242] In an optional embodiment, the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information are preprocessed to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information, including:

[0243] H511 performs noise reduction processing on heart rate information, blood oxygen saturation information, respiratory rate information and body temperature information to obtain first heart rate information, first blood oxygen saturation information, first respiratory rate information and first body temperature information;

[0244] It should be noted that the above noise reduction process can be performed using Kalman filtering, median filtering, adaptive filtering, or other methods. Specifically, the embodiments of the present invention do not limit the specific methods used.

[0245] It should be noted that the above denoising process can be implemented in various ways. For heart rate information, a combination of heart rate Kalman filtering and moving average filtering can be used. For blood oxygen saturation information, wavelet denoising combined with adaptive filtering can be used. For respiratory rate information, median filtering combined with moving average can be used. For body temperature information, median filtering can be used. This multi-level and multi-method denoising approach can fully reflect the uniqueness of different physiological parameters and provide more accurate basic data in the fusion stage.

[0246] H512 performs outlier detection processing on the first heart rate information, first blood oxygen saturation information, first respiratory rate information, and first body temperature information to obtain the second heart rate information, second blood oxygen saturation information, second respiratory rate information, and second body temperature information.

[0247] It should be noted that the above-mentioned outlier detection processing can use methods such as thresholding and sliding window detection; specifically, the embodiments of the present invention are not limited to these methods. Outlier detection processing can significantly improve the accuracy, stability, and reliability of physiological parameter data.

[0248] H513 performs time alignment processing on the second heart rate information, second blood oxygen saturation information, second respiratory rate information, and second body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information.

[0249] It should be noted that the above time alignment processing can be performed using nearest neighbor interpolation or timestamp calibration. Specifically, the embodiments of the present invention do not limit the specific methods.

[0250] It should be noted that time alignment processing involves processing asynchronous data collected from multiple different sensors in a unified manner along the time dimension. This ensures that various physiological parameters (such as heart rate, blood oxygen, respiratory rate, and body temperature) can be effectively fused at the same point in time, thereby obtaining more accurate health status assessment results.

[0251] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0252] In an optional embodiment, the preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information are analyzed and processed to obtain heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score, including:

[0253] H521 processes the preprocessed heart rate information to obtain a heart rate score.

[0254] H522 processes the pre-processed blood oxygen saturation information to obtain a blood oxygen saturation score.

[0255] H523 processes the pre-processed respiratory rate information to obtain a respiratory rate score.

[0256] H524 processes the pre-processed body temperature information to obtain a body temperature score.

[0257] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0258] In an optional embodiment, the preprocessed heart rate information is processed to obtain a heart rate score, including:

[0259] H5211 performs mean calculation on the preprocessed heart rate information to obtain the mean heart rate.

[0260] H5212 performs time-domain analysis on the preprocessed heart rate information and the mean heart rate to obtain the first heart rate value;

[0261] It should be noted that time-domain analysis is performed on the preprocessed heart rate information and the mean heart rate to obtain the first heart rate value, including:

[0262] Using a time-domain analysis calculation model, the preprocessed heart rate information and mean heart rate are subjected to time-domain analysis to obtain the first heart rate value;

[0263] The time-domain analysis calculation model is as follows:

[0264]

[0265] In the formula, DIXL is the initial heart rate value, YXLP is the mean heart rate, and YXL is the preprocessed heart rate information. i1 δ1 is the i1th preprocessed heart rate value in the preprocessed heart rate information, N1 is the number of preprocessed heart rate values ​​in the preprocessed heart rate information, δ1 is the first weighting parameter, and τ is the heart rate deviation coefficient.

[0266] It should be noted that the first weighting parameter and the heart rate deviation coefficient can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specifics.

[0267] It should be noted that the first weight parameter has a value range of [0.9, 1.1] and is used to adjust the weight of the calculation result in the overall model. The heart rate deviation coefficient has a value range of [-5, 5] and is used to fine-tune the heart rate calculation result and correct deviations to correct errors caused by the system or data source.

[0268] It should be noted that the time-domain analysis calculation model exhibits high flexibility and stability in heart rate feature extraction. By introducing the first weight parameter and the heart rate deviation coefficient, it can effectively analyze and process heart rate data in different scenarios, providing strong support for subsequent health status assessment.

[0269] H5213 performs frequency domain analysis on the preprocessed heart rate information to obtain the second heart rate value;

[0270] It should be noted that the above frequency domain analysis and processing can be obtained by using Fast Fourier Transform or other methods. Specifically, the embodiments of the present invention do not limit the specific methods.

[0271] H5214 fuses the mean heart rate, the first heart rate value, and the second heart rate value to obtain the third heart rate value;

[0272] It should be noted that the above fusion process involves averaging the first and second heart rate values ​​to obtain the third heart rate value.

[0273] H5215 processes the third heart rate value to obtain the heart rate score.

[0274] It should be noted that the third heart rate value is processed to obtain a heart rate score, including:

[0275] The third heart rate value is processed using a heart rate calculation model to obtain a heart rate score.

[0276] The heart rate calculation model is as follows:

[0277]

[0278] HRSCORE is the heart rate score, and DSXL is the third heart rate score.

[0279] It should be noted that the normal range for heart rate is 60-100, with 80 being the average of the normal range. The heart rate calculation model can directly convert heart rate values ​​into a score, making it easy for medical professionals or ordinary users to understand. It intuitively maps heart rate status to a score range of 0-100, facilitating display and interpretation.

[0280] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0281] In an optional embodiment, the preprocessed blood oxygen saturation information is processed to obtain a blood oxygen saturation score, including:

[0282] H5221 calculates and processes the preprocessed blood oxygen saturation information to obtain the first blood oxygen saturation value;

[0283] It should be noted that the above calculations are obtained through a moving average algorithm, and the specific implementation of this invention is not limited thereto.

[0284] It should be noted that by using moving averages, data fluctuations can be effectively reduced, measurement accuracy improved, and a more stable assessment of health status provided.

[0285] H5222 performs linear regression calculation on the preprocessed blood oxygen saturation information to obtain the second blood oxygen saturation value;

[0286] It should be noted that linear regression calculation is simple, intuitive, easy to understand, computationally efficient, and the results are highly interpretable. It can also handle large amounts of data, and is especially suitable for situations where there is a significant linear relationship in blood oxygen saturation information.

[0287] H5223 processes the first and second blood oxygen saturation values ​​to obtain the third blood oxygen saturation value.

[0288] It should be noted that the first and second blood oxygen saturation values ​​are processed to obtain the third blood oxygen saturation value, which includes:

[0289] Using a blood oxygen saturation calculation model, the first and second blood oxygen saturation values ​​are processed to obtain the third blood oxygen saturation value.

[0290] The blood oxygen saturation calculation model is as follows:

[0291] DSBH = δ2·DYBH + δ3·DEBH;

[0292] δ2+δ3=1;

[0293] 0≤δ2,δ3≤1;

[0294] Wherein, DSBH is the third blood oxygen saturation value, DYBH and DEBH are the first and second blood oxygen saturation values, respectively, and δ2 and δ3 are the second and third weighting parameters, respectively.

[0295] It should be noted that the second and third weight parameters can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specifics.

[0296] For example, the values ​​of the second and third weight parameters are both 0.5.

[0297] H5224 processes the third blood oxygen saturation value to obtain the blood oxygen saturation score.

[0298] It should be noted that the third blood oxygen saturation value is processed to obtain the blood oxygen saturation score, which includes:

[0299] The third blood oxygen saturation value was processed using a blood oxygen saturation scoring model to obtain the blood oxygen saturation score.

[0300] The blood oxygen saturation score calculation model is as follows:

[0301]

[0302] In the formula, XYSCORE is the blood oxygen saturation score, and DSBH is the third blood oxygen saturation score.

[0303] It should be noted that the normal range for blood oxygen saturation is 95%-100%. By converting blood oxygen saturation into a scoring value, the blood oxygen saturation scoring calculation model not only makes blood oxygen status assessment more intuitive and easier to understand, but also highlights the health hazards of low blood oxygen and enhances the sensitivity to dynamic changes. This provides doctors with real-time and accurate decision support, improving treatment efficiency. Furthermore, it is easy to combine with other health indicators, helping to comprehensively assess the patient's health status.

[0304] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0305] In an optional embodiment, the preprocessed respiratory rate information is processed to obtain a respiratory rate score, including:

[0306] H5231 performs wavelet transform on the preprocessed respiratory rate information to obtain respiratory rate fluctuation information;

[0307] H5232 calculates and processes respiratory rate fluctuation information to obtain respiratory rate values;

[0308] It should be noted that the respiratory rate fluctuation information is calculated and processed to obtain the respiratory rate value, including:

[0309] The respiratory rate calculation model is used to calculate and process the respiratory rate fluctuation information to obtain the respiratory rate value;

[0310] The respiratory rate calculation model is as follows:

[0311]

[0312] 0≤ω i2 ≤1 1≤i2≤N2;

[0313]

[0314] In the formula, HXRR is the respiratory rate value, and HXBD is the respiratory rate value. i2 ω represents the i2th respiratory rate fluctuation feature value in the respiratory rate fluctuation information. i2 N2 represents the weight corresponding to the i2th respiratory rate fluctuation feature value in the respiratory rate fluctuation information, and N2 represents the number of respiratory rate fluctuation feature values ​​in the respiratory rate fluctuation information.

[0315] It should be noted that, The specific values ​​of 1≤i²≤N² can be user-defined or obtained from historical data. For example, 1≤i2≤N2.

[0316] H5233 processes the respiratory rate value to obtain the respiratory rate score.

[0317] It should be noted that the respiratory rate values ​​are processed to obtain a respiratory rate score, which includes:

[0318] The respiratory rate score is obtained by processing the respiratory rate value using a respiratory rate score calculation model.

[0319] The respiratory rate score calculation model is as follows:

[0320]

[0321] In the formula, HXSCORE is the respiratory rate score and HXPL is the respiratory rate.

[0322] It should be noted that the normal range for respiratory rate is 12-20, where 16 is the mean of the normal range. The respiratory rate scoring model can directly convert respiratory rate into a score, making it easy for medical personnel or ordinary users to understand. It intuitively maps respiratory rate to a score range of 0-100, facilitating display and interpretation.

[0323] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0324] In an optional embodiment, the preprocessed body temperature information is processed to obtain a body temperature score, including:

[0325] H5241 performs Kalman filtering on the preprocessed body temperature information to obtain the first body temperature value;

[0326] It should be noted that the Kalman filtering process described above effectively removes noise from body temperature data, especially measurement errors that often accompany real-time monitoring. Kalman filtering extracts more accurate and stable body temperature information, avoiding interference caused by sensor errors or other external factors. Furthermore, Kalman filtering uses a state-space model to describe the body temperature change process, while combining it with a measurement model to correct the temperature estimate. It considers not only the sensor's measurement values ​​but also system dynamics (such as the trend of body temperature changes) to improve the estimate. Therefore, compared to traditional smoothing methods, it is more accurate and reflects reality. In addition, it has significant advantages in improving the real-time performance and accuracy of medical monitoring in complex or dynamically changing environments.

[0327] H5242 processes the first body temperature value to obtain a body temperature score.

[0328] It should be noted that the initial body temperature value is processed to obtain a body temperature score, including:

[0329] The body temperature score is obtained by processing the first body temperature value using a body temperature scoring model.

[0330] The body temperature scoring calculation model is as follows:

[0331]

[0332] Among them, TWSCORE is the body temperature score, and DYTW is the first body temperature value.

[0333] It should be noted that the normal range for body temperature is 36.5℃-37.5℃, with 37℃ being the average of the normal range. The body temperature scoring model can directly convert body temperature into a score, making it easy for medical personnel or ordinary users to understand. It intuitively maps body temperature to a score range of 0-100, facilitating display and interpretation.

[0334] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0335] In an optional embodiment, the heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score are fused to obtain physiological parameter assessment values, including:

[0336] Using a physiological parameter fusion calculation model, heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score are fused to obtain physiological parameter evaluation values.

[0337] The physiological parameter fusion calculation model is as follows:

[0338] SLCS=δ4·HRSCORE+δ5·XYSCORE+δ6·HXSCORE+δ7·TWSCORE;

[0339] δ4+δ5+δ6+δ7=1;

[0340] 0.2≤δ4≤0.4;

[0341] 0.3≤δ5≤0.5;

[0342] 0.1≤δ6≤0.3;

[0343] 0.1≤δ7≤0.3;

[0344] In the formula, SLCS is the physiological parameter assessment value, HRSCORE, XYSCORE, HXSCORE and TWSCORE are the heart rate score, blood oxygen saturation score, respiratory rate score and body temperature score respectively, and δ4, δ5, δ6 and δ7 are the fourth weight parameter, the fifth weight parameter, the sixth weight parameter and the seventh weight parameter respectively.

[0345] It should be noted that the fourth, fifth, sixth, and seventh weight parameters can be set by the user or obtained from historical data. Specifically, this embodiment of the invention does not limit the specific weight parameters.

[0346] It should be noted that, since changes in heart rate can rapidly affect health status, the value range of the fourth weighting parameter can be set to [0.2, 0.4]; since changes in blood oxygen have a significant impact on health, especially in cases of hypoxia, this weight needs to be increased, and the value range of the fifth weighting parameter can be set to [0.3, 0.5]; respiratory rate is closely related to changes in body temperature, but compared to heart rate and blood oxygen saturation, its impact on health assessment is slightly lower, and the value ranges of the sixth and seventh weighting parameters can both be set to [0.1, 0.3].

[0347] It's important to note that different physiological parameters (such as heart rate, blood oxygen saturation, and body temperature) have varying degrees of impact on health. Setting weight ranges allows the model to better adapt to changes in various physiological signals. For example, changes in blood oxygen saturation typically have a significant impact on health, especially under hypoxic conditions, where blood oxygen saturation scores contribute significantly to overall health assessments; therefore, a higher weight can be assigned to blood oxygen. Conversely, while abnormal body temperature has a substantial impact on health, changes in body temperature are relatively slow, generally less rapid than changes in heart rate and blood oxygen saturation; therefore, its weight can be relatively lower.

[0348] It should be noted that by setting the value range for each weight, the contribution of each physiological parameter in health assessment can be adjusted more precisely, optimizing the flexibility, adaptability, and accuracy of the assessment model, and ensuring that the influence of each parameter is reasonably reflected in the comprehensive assessment of multiple physiological parameters. In particular, dynamically adjusting the weights according to the uniqueness of the parameters, their range, and the needs of practical applications can improve the model's accuracy in different scenarios, thereby enhancing the ability to analyze and process complex physiological data.

[0349] It should be noted that physiological parameter assessment values ​​can be used to evaluate an individual's health status. An example assessment method is as follows:

[0350] Normal: When the physiological parameter assessment value is greater than a certain normal threshold (e.g., 90 points), it indicates that the health status is good.

[0351] Mild adverse condition: When the physiological parameter assessment value is in a certain middle range (e.g., between 70 and 90 points), it indicates that there is a minor problem with the health condition that needs attention, but is not life-threatening.

[0352] Severe adverse condition: When the physiological parameter assessment value is below a certain threshold (e.g., below 70 points), it indicates that there may be a serious problem with the health condition and that immediate intervention is required.

[0353] It is evident that implementing the medical evacuation data processing method for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately obtaining physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0354] Example 3

[0355] Please see Figure 8 , Figure 8 This is a schematic diagram of a medical evacuation data processing device for search and rescue aircraft disclosed in an embodiment of the present invention. Figure 8 The described medical evacuation data processing apparatus for search and rescue aircraft is applied to a medical evacuation data processing optimization system for search and rescue aircraft, such as a local server or cloud server for medical evacuation data processing of search and rescue aircraft, etc., and the embodiments of the present invention are not limited thereto. Figure 8 As shown, the medical evacuation data processing device for search and rescue aircraft includes:

[0356] Processor 301;

[0357] A memory 302 containing executable program code is coupled to the processor 301;

[0358] The processor 301 calls the executable program code stored in the memory 302 to execute some or all of the steps of the medical evacuation data processing method for search and rescue aircraft in Embodiment 2.

[0359] It is evident that implementing the medical evacuation data processing device for search and rescue aircraft described in the embodiments of the present invention is beneficial for efficiently and accurately acquiring physiological parameter information of the wounded, thereby playing an auxiliary role in improving the treatment rate of the wounded.

[0360] Example 4

[0361] This invention discloses a computer-readable storage medium storing computer instructions. When the computer instructions are invoked, they are used to execute some or all of the steps of the medical evacuation data processing method for search and rescue aircraft according to Embodiment 2.

[0362] Example 5

[0363] This invention discloses a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps in the medical evacuation data processing method for search and rescue aircraft described in Embodiment 2.

[0364] The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0365] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0366] Finally, it should be noted that the medical evacuation system and data processing method for search and rescue aircraft disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A medical evacuation system for search and rescue aircraft, characterized in that, Includes stretcher station components, hoisting components, monitoring equipment, and seats; The stretcher station assembly, the hoisting assembly, the monitoring equipment, and the seat are all located inside the cabin of the search and rescue aircraft; The stretcher station assembly is detachably connected to the hoisting assembly and is used for transferring personnel. The hoisting assembly is used for hoisting and transporting the stretcher station assembly; The monitoring device is used to acquire physiological parameter information of personnel and process the physiological parameter information to obtain physiological parameter evaluation values; The stretcher station assembly includes a stretcher station, a stretcher, and a safety belt; The stretcher station is detachably connected to the stretcher, and the safety belt is installed on the stretcher; The hoisting assembly includes a hoisting device, a traveling device, and a guide rail; The hoisting device is detachably connected to the stretcher station assembly and is used for hoisting and transporting the stretcher station assembly; The walking device is fixedly connected to the hoisting device to provide stable support for the hoisting device, so as to ensure the smooth, accurate and safe hoisting operation during the hoisting and transfer of the stretcher station components; The guide rail is slidably connected to the traveling device and is used to provide a track for the traveling device so that the traveling device can slide on the guide rail, thereby realizing the positioning, hoisting and transfer of the lifting device.

2. The medical evacuation system for search and rescue aircraft according to claim 1, characterized in that, The stretcher station includes the main body of the stretcher station and the stretcher station support frame; The main body of the stretcher station is detachably and fixedly connected to the stretcher station support, which is used to fix the stretcher station support. There are multiple stretcher station supports, and each stretcher station support can be detachably connected to one stretcher.

3. The medical evacuation system for search and rescue aircraft according to claim 1, characterized in that, The monitoring device includes a heart rate sensor, a blood oxygen saturation sensor, a respiratory rate sensor, a body temperature sensor, and a data processing unit. The heart rate sensor is electrically connected to the data processing unit and is used to acquire heart rate information and send the heart rate information to the data processing unit. The blood oxygen saturation sensor is electrically connected to the data processing unit and is used to acquire blood oxygen saturation information and send the blood oxygen saturation information to the data processing unit. The respiratory rate sensor is electrically connected to the data processing unit and is used to acquire respiratory rate information and send the respiratory rate information to the data processing unit. The body temperature sensor is electrically connected to the data processing unit and is used to acquire body temperature information and send the body temperature information to the data processing unit. The data processing unit processes the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information to obtain physiological parameter evaluation values.

4. The medical evacuation system for search and rescue aircraft according to claim 3, characterized in that, The data processing unit processes the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information to obtain physiological parameter evaluation values, which are obtained by the data processing unit performing the following steps: S1, preprocess the heart rate information, blood oxygen saturation information, respiratory rate information and body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information and preprocessed body temperature information; S2, the preprocessed heart rate information, the preprocessed blood oxygen saturation information, the preprocessed respiratory rate information and the preprocessed body temperature information are analyzed and processed to obtain heart rate score, blood oxygen saturation score, respiratory rate score and body temperature score; S3, the heart rate score, blood oxygen saturation score, respiratory rate score and body temperature score are fused to obtain physiological parameter evaluation values.

5. The medical evacuation system for search and rescue aircraft according to claim 4, characterized in that, The preprocessing of the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information includes: S11, the heart rate information, blood oxygen saturation information, respiratory rate information and body temperature information are denoised to obtain first heart rate information, first blood oxygen saturation information, first respiratory rate information and first body temperature information; S12, perform outlier detection processing on the first heart rate information, the first blood oxygen saturation information, the first respiratory rate information, and the first body temperature information to obtain second heart rate information, second blood oxygen saturation information, second respiratory rate information, and second body temperature information; S13, perform time alignment processing on the second heart rate information, the second blood oxygen saturation information, the second respiratory rate information, and the second body temperature information to obtain preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information.

6. The medical evacuation system for search and rescue aircraft according to claim 4, characterized in that, The analysis and processing of the preprocessed heart rate information, preprocessed blood oxygen saturation information, preprocessed respiratory rate information, and preprocessed body temperature information to obtain heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score includes: S21, The preprocessed heart rate information is processed to obtain a heart rate score; S22, The preprocessed blood oxygen saturation information is processed to obtain a blood oxygen saturation score; S23, process the preprocessed respiratory rate information to obtain a respiratory rate score; S24, process the preprocessed body temperature information to obtain a body temperature score.

7. The medical evacuation system for search and rescue aircraft according to claim 6, characterized in that, The process of processing the preprocessed heart rate information to obtain a heart rate score includes: S211, The preprocessed heart rate information is processed by mean calculation to obtain the mean heart rate; S212, perform time-domain analysis on the preprocessed heart rate information and the mean heart rate to obtain a first heart rate value; S213, Perform frequency domain analysis on the preprocessed heart rate information to obtain a second heart rate value; S214, the average heart rate, the first heart rate value and the second heart rate value are fused to obtain a third heart rate value; S215, The third heart rate value is processed to obtain a heart rate score value.

8. The medical evacuation system for search and rescue aircraft according to claim 6, characterized in that, The process of processing the preprocessed blood oxygen saturation information to obtain a blood oxygen saturation score includes: S221, The preprocessed blood oxygen saturation information is calculated and processed to obtain a first blood oxygen saturation value; S222, Perform linear regression calculation on the preprocessed blood oxygen saturation information to obtain a second blood oxygen saturation value; S223, Process the first blood oxygen saturation value and the second blood oxygen saturation value to obtain a third blood oxygen saturation value; S224, The third blood oxygen saturation value is processed to obtain a blood oxygen saturation score.

9. The medical evacuation system for search and rescue aircraft according to claim 4, characterized in that, The process of fusing the heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score to obtain physiological parameter evaluation values ​​includes: Using a physiological parameter fusion calculation model, the heart rate score, blood oxygen saturation score, respiratory rate score, and body temperature score are fused to obtain physiological parameter evaluation values. The physiological parameter fusion calculation model is as follows: SLCS=δ4·HRSCORE+δ5·XYSCORE+δ6·HXSCORE+δ7·TWSCORE; δ4+δ5+δ6+δ7=1; 0.2≤δ4≤0.4; 0.3≤δ5≤0.5; 0.1≤δ6≤0.3; 0.1≤δ7≤0.3; In the formula, SLCS is the physiological parameter assessment value, HRSCORE, XYSCORE, HXSCORE and TWSCORE are the heart rate score, the blood oxygen saturation score, the respiratory rate score and the body temperature score, respectively, and δ4, δ5, δ6 and δ7 are the fourth weight parameter, the fifth weight parameter, the sixth weight parameter and the seventh weight parameter, respectively.

10. A method for processing medical evacuation data for search and rescue aircraft, characterized in that, The method, applied to the medical evacuation system for search and rescue aircraft according to any one of claims 1-9, comprises: H1 uses a heart rate sensor to acquire heart rate information and sends the heart rate information to the data processing unit; H2 uses a blood oxygen saturation sensor to acquire blood oxygen saturation information and sends the blood oxygen saturation information to the data processing unit; H3 uses a respiratory rate sensor to acquire respiratory rate information and sends the respiratory rate information to the data processing unit; H4, uses a body temperature sensor to acquire body temperature information and sends the body temperature information to the data processing unit; H5 uses a data processing unit to process the heart rate information, blood oxygen saturation information, respiratory rate information, and body temperature information to obtain physiological parameter evaluation values.

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