Intelligent stretcher system and data processing method

Abstract

The invention discloses an intelligent stretcher system and a data processing method. The intelligent stretcher system comprises a stretcher control module, a vital sign monitoring module, a stretcher state monitoring module, a wireless data module, a data processing module and a power module. The stretcher control module is used for regulating the posture of the stretcher; the vital sign monitoring module is used for monitoring heart rate, blood pressure, oxyhemoglobin saturation and body temperature data of a patient on the stretcher; the stretcher state monitoring module comprises an attitude sensor mounted on the stretcher and a plurality of pressure sensors for detecting the pressure of each position on the stretcher, and the attitude sensor is used for monitoring attitude data of the stretcher; the wireless data module comprises a multi-channel wireless data transmission module, and monitored vital sign data of a patient is transmitted to a remote monitoring center through a plurality of wireless data transmission channels; the power module is used for supplying power to the whole intelligent stretcher system. The data processing method comprises steps S1 to S8. According to the invention, real-time monitoring and far-end sharing of the vital sign data of the patient on the stretcher are realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent stretchers, and in particular to an intelligent stretcher system and a data processing method. Background Art

[0002] Stretchers are commonly used equipment for transferring patients in clinical situations. In emergencies, they are important carriers for transferring patients. In clinical rescue, when emergencies occur, medical staff need to quickly divide the work and cooperate to complete emergency rescue in a short time. Stretchers are used as tools for transporting wounded or seriously injured people outside hospitals. The monitoring of patients' vital signs during transportation and the stable operation of various monitoring equipment on the stretcher are the key to the treatment of patients. With the development of big data intelligent technology, the application of intelligent technology to stretchers, the remote acquisition of patients' status on stretchers, and the assistance of medical staff in treating patients are the current development direction of medical intelligence.

[0003] Traditional stretchers are limited in function and cannot meet the needs of modern medicine for real-time monitoring of patients' vital signs and intelligent control of stretchers. Existing medical transport equipment has obvious deficiencies in data integration, analysis, and automatic control of stretchers, resulting in the risk of patients being unable to monitor their condition in time and the risk of aggravating their injuries due to stretcher operation fault lights during transport. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides an intelligent stretcher system and a data processing method to improve the safety of wounded transportation and the timeliness of medical monitoring in medical emergency scenarios.

[0005] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0006] Provided is an intelligent stretcher system, which includes: a stretcher control module, a vital sign monitoring module, a stretcher status monitoring module, a wireless data module, a data processing module and a power module;

[0007] The stretcher control module is used to adjust the posture of the stretcher;

[0008] The vital signs monitoring module includes a heart rate monitoring module, a blood pressure monitoring module, a blood oxygen saturation monitoring module and a body temperature monitoring module, which are used to monitor the heart rate, blood pressure, blood oxygen saturation and body temperature data of the patient on the stretcher respectively;

[0009] The stretcher status monitoring module includes a posture sensor installed on the stretcher and a plurality of pressure sensors for detecting pressure at various positions on the stretcher. The posture sensor is used to monitor the posture data of the stretcher.

[0010] The wireless data module includes a multi-channel wireless data transmission module, and the monitored patient vital sign data is transmitted to the remote monitoring center through multiple wireless data transmission channels;

[0011] The power module is used to supply power to the entire intelligent stretcher system.

[0012] Furthermore, the heart rate monitoring module uses photoplethysmography to monitor the patient's heart rate, and the relationship between light absorption and blood volume change is:

[0013] I=I0×e -α·V ;

[0014] Where I is the transmitted light intensity, I0 is the initial light intensity, α is the absorption coefficient, and V is the blood volume.

[0015] Furthermore, the method for the blood oxygen saturation monitoring module to monitor and calculate the blood oxygen saturation is:

[0016]

[0017] Among them, I red ,I ir The blood oxygen saturation monitoring module monitors the red light intensity and infrared light intensity. red0 ,I ir0 is the calibration light intensity of red light and infrared light, R max , R min are the maximum and minimum values ​​of the absorbance ratio respectively, R is the absorbance ratio, and SpO2 is the blood oxygen saturation value.

[0018] Furthermore, when the power module supplies power to the intelligent stretcher system, it satisfies: C×V′≥P×T′; C is the battery capacity of the power module, V′ is the output voltage of the power module, P is the power consumption of the intelligent stretcher system, and T′ is the preset limit working time of the intelligent stretcher system; the discharge process of the battery satisfies the discharge model:

[0019]

[0020] Where t' is the discharge time of the battery, V bat (t′) is the terminal voltage of the battery, V ocv is the open circuit voltage, R int is the internal resistance of the battery, J is the polarization constant, I bat (t′) is the discharge current of the battery.

[0021] A data processing method for the above-mentioned intelligent stretcher system is provided, which comprises the following steps:

[0022] S1: The vital sign monitoring module collects the vital sign data of the patient on the stretcher, including heart rate, blood pressure, blood oxygen saturation and body temperature data, and pre-processes the vital sign data to form pre-processed vital sign data;

[0023]

[0024] Wherein, k is the filter order number in the preprocessing process, N is the filter order, h[k] is the filter coefficient, n is the time series of vital sign data, x[n] is the input vital sign data, and y[n] is the preprocessed vital sign data obtained after preprocessing;

[0025] S2: Fusing each of the pre-processed vital sign data obtained to obtain the patient's current comprehensive health index H;

[0026]

[0027] Among them, i is the type of preprocessed vital signs data, f(y i ) is the membership function of the i-th preprocessed vital sign data, w i is the weight coefficient, y0 is the ideal value of preprocessed vital signs data, y min ,y max is the minimum and maximum value of the preprocessed vital signs data;

[0028] S3: Considering the timeliness of the patient's vital signs data, the time weight factor λ(t) is introduced to calculate the comprehensive health index H;

[0029]

[0030] Among them, t is the time of vital sign data collection, and Δt is the time the patient stays on the stretcher;

[0031] S4: After the data processing module calculates the patient's comprehensive health index H, it generates a patient status data packet, which is sent to the remote monitoring center through the multi-channel wireless data transmission module;

[0032] S5: The remote monitoring center obtains the signal corresponding to the patient status data packet by superimposing the signals of the multi-channel propagation path established by the multi-channel wireless data transmission module;

[0033]

[0034] Among them, T is the time tag of the signal, u is the number of the propagation path, U is the number of propagation paths, and a u is the amplitude of the propagation path u, τ u is the delay of propagation path u, s(.) is the transmission signal of the multi-channel wireless data transmission module, r(.) is the receiving signal of propagation path u, j is the phase shift weight coefficient, is the phase shift coefficient;

[0035] S6: Based on the integrity of the historical signal transmission of the multi-channel propagation path, calculate the weighting coefficient β of each propagation path u ;

[0036]

[0037] Among them, x is the number of times the signal is sent in the history of the propagation path, X is the number of times the signal is sent in the history of the propagation path, κ0 is the length of the complete signal, and κ x is the actual length of the signal;

[0038] S7: Based on the weighting coefficient β k The signals acquired from each propagation path are combined to obtain a final patient status data packet signal R;

[0039]

[0040] Among them, r u (T) is the received signal of the u-th propagation path, and χ is the noise correction term;

[0041] S8: Analyze the final patient status data packet signal R to obtain the patient's current comprehensive health index H, which is used to evaluate the stability of the patient's current life status on the stretcher.

[0042] The beneficial effects of the present invention are as follows: the present invention constructs an intelligent stretcher system and a corresponding data processing method to realize real-time monitoring and remote sharing of the vital signs data of patients on the stretcher, so that the medical staff of the medical center can obtain the vital signs of the patients on the stretcher in time, provide auxiliary medical advice during transportation, and provide data support for medical treatment after arrival at the hospital. During the data transmission process, a multi-channel transmission path is established to ensure the accuracy and stability of data transmission, and a data preprocessing process is designed to fuse multiple data to characterize the patient's status, so that medical staff can intuitively obtain the patient's vital signs status. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is the principle block diagram of the intelligent stretcher system. DETAILED DESCRIPTION

[0044] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0045] like Figure 1As shown, an intelligent stretcher system includes: a stretcher control module, a vital sign monitoring module, a stretcher status monitoring module, a wireless data module, a data processing module and a power module; the stretcher control module is used to adjust the posture of the stretcher; the vital sign monitoring module includes a heart rate monitoring module, a blood pressure monitoring module, a blood oxygen saturation monitoring module and a body temperature monitoring module, which are respectively used to monitor the heart rate, blood pressure, blood oxygen saturation and body temperature data of the patient on the stretcher.

[0046] The stretcher status monitoring module includes a posture sensor installed on the stretcher and several pressure sensors for detecting the pressure at various positions on the stretcher. The posture sensor is used to monitor the posture data of the stretcher. By collecting the posture data of the stretcher, it can avoid tilting and causing the patient to fall. The stretcher control module adjusts the stretcher's lifting system in time to make the stretcher stable; the wireless data module includes a multi-channel wireless data transmission module, and the monitored patient's vital signs data are transmitted to the remote monitoring center through multiple wireless data transmission channels; the power module is used to power the entire intelligent stretcher system.

[0047] The heart rate monitoring module uses photoplethysmography to monitor the patient's heart rate. The relationship between light absorption and blood volume change is:

[0048] I=I0×e -α·V ;

[0049] Where I is the transmitted light intensity, I0 is the initial light intensity, α is the absorption coefficient, and V is the blood volume.

[0050] The method for the blood oxygen saturation monitoring module to monitor and calculate blood oxygen saturation is:

[0051]

[0052] Among them, I red ,I ir The blood oxygen saturation monitoring module monitors the red light intensity and infrared light intensity. red0 ,I ir0 is the calibration light intensity of red light and infrared light, R max , R min are the maximum and minimum values ​​of the absorbance ratio respectively, R is the absorbance ratio, and SpO2 is the blood oxygen saturation value.

[0053] When the power module supplies power to the intelligent stretcher system, it satisfies: C×V′≥P×T′; C is the battery capacity of the power module, V′ is the output voltage of the power module, P is the power consumption of the intelligent stretcher system, and T′ is the preset maximum working time of the intelligent stretcher system; the discharge process of the battery satisfies the discharge model:

[0054]

[0055] Where t' is the discharge time of the battery, V bat (t′) is the terminal voltage of the battery, V ocv is the open circuit voltage, R int is the internal resistance of the battery, J is the polarization constant, I bat (t′) is the discharge current of the battery. This effectively improves the stability of the power supply system and the durability of the battery, making it suitable for long-distance stretcher transport.

[0056] The data processing method of the above-mentioned intelligent stretcher system comprises the following steps:

[0057] S1: The vital sign monitoring module collects the vital sign data of the patient on the stretcher, including heart rate, blood pressure, blood oxygen saturation and body temperature data, and pre-processes the vital sign data to form pre-processed vital sign data;

[0058]

[0059] Wherein, k is the filter order number in the preprocessing process, N is the filter order, h[k] is the filter coefficient, n is the time series of vital sign data, x[n] is the input vital sign data, and y[n] is the preprocessed vital sign data obtained after preprocessing;

[0060] S2: Fusing each of the pre-processed vital sign data obtained to obtain the patient's current comprehensive health index H;

[0061]

[0062] Among them, i is the type of preprocessed vital signs data, f(y i ) is the membership function of the i-th preprocessed vital sign data, w i is the weight coefficient, y0 is the ideal value of preprocessed vital signs data, y min ,y max is the minimum and maximum value of the preprocessed vital signs data;

[0063] S3: Considering the timeliness of the patient's vital signs data, the time weight factor λ(t) is introduced to calculate the comprehensive health index H;

[0064]

[0065] Among them, t is the time of vital sign data collection, and Δt is the time the patient stays on the stretcher; the data fusion algorithm is used to fuse multiple vital sign data to improve the accuracy and reliability of the data.

[0066] S4: After the data processing module calculates the patient's comprehensive health index H, it generates a patient status data packet, which is sent to the remote monitoring center through the multi-channel wireless data transmission module;

[0067] S5: The remote monitoring center obtains the signal corresponding to the patient status data packet by superimposing the signals of the multi-channel propagation path established by the multi-channel wireless data transmission module;

[0068]

[0069] Among them, T is the time tag of the signal, u is the number of the propagation path, U is the number of propagation paths, and a u is the amplitude of the propagation path u, τ u is the delay of propagation path u, s(.) is the transmission signal of the multi-channel wireless data transmission module, r(.) is the receiving signal of propagation path u, j is the phase shift weight coefficient, is the phase shift coefficient;

[0070] S6: Based on the integrity of the historical signal transmission of the multi-channel propagation path, calculate the weighting coefficient β of each propagation path u ;

[0071]

[0072] Among them, x is the number of times the signal is sent in the history of the propagation path, X is the number of times the signal is sent in the history of the propagation path, κ0 is the length of the complete signal, and κ x is the actual length of the signal;

[0073] S7: Based on the weighting coefficient β k The signals acquired from each propagation path are combined to obtain a final patient status data packet signal R;

[0074]

[0075] Among them, r u (T) is the received signal of the u-th propagation path, and χ is the noise correction term;

[0076] S8: Analyze the final patient status data packet signal R to obtain the patient's current comprehensive health index H, which is used to evaluate the stability of the patient's current life status on the stretcher.

[0077] The present invention constructs an intelligent stretcher system and a corresponding data processing method to achieve real-time monitoring and remote sharing of the vital signs data of patients on the stretcher, so that the medical staff of the medical center can obtain the vital signs of the patients on the stretcher in time, provide auxiliary medical advice during transportation, and provide data support for medical treatment after arrival at the hospital. During the data transmission process, a multi-channel transmission path is established to ensure the accuracy and stability of data transmission, and a data preprocessing process is designed to fuse multiple data to characterize the patient's status, so that medical staff can intuitively obtain the patient's vital signs status.

Claims

1. An intelligent stretcher system, characterized in that: include: Stretcher control module, vital signs monitoring module, stretcher status monitoring module, wireless data module, data processing module and power module; The stretcher control module is used to adjust the posture of the stretcher; The vital signs monitoring module includes a heart rate monitoring module, a blood pressure monitoring module, a blood oxygen saturation monitoring module and a body temperature monitoring module, which are respectively used to monitor the heart rate, blood pressure, blood oxygen saturation and body temperature data of the patient on the stretcher; The stretcher state monitoring module includes a posture sensor installed on the stretcher and a plurality of pressure sensors for detecting pressure at various positions on the stretcher, wherein the posture sensor is used to monitor the posture data of the stretcher; The wireless data module includes a multi-channel wireless data transmission module, and the monitored patient vital sign data is transmitted to the remote monitoring center through multiple wireless data transmission channels; The power module is used to supply power to the entire intelligent stretcher system.

2. The intelligent stretcher system according to claim 1, characterized in that: The heart rate monitoring module uses photoplethysmography to monitor the patient's heart rate, and the relationship between light absorption and blood volume change is: I=I0×e -α·V ; Where I is the transmitted light intensity, I0 is the initial light intensity, α is the absorption coefficient, and V is the blood volume.

3. The intelligent stretcher system according to claim 1, characterized in that: The method for the blood oxygen saturation monitoring module to monitor and calculate the blood oxygen saturation is: Among them, I red ,I ir The blood oxygen saturation monitoring module monitors the red light intensity and infrared light intensity. red0 ,I ir0 is the calibration light intensity of red light and infrared light, R max , R min are the maximum and minimum values ​​of the absorbance ratio respectively, R is the absorbance ratio, and SpO2 is the blood oxygen saturation value.

4. The intelligent stretcher system according to claim 1, characterized in that: When the power module supplies power to the intelligent stretcher system, the following conditions are satisfied: C×V′≥P×T′; C is the battery capacity of the power module, V′ is the output voltage of the power module, P is the power consumption of the intelligent stretcher system, and T′ is the preset maximum working time of the intelligent stretcher system; the discharge process of the battery satisfies the discharge model: Where t' is the discharge time of the battery, V bat (t′) is the terminal voltage of the battery, V ocv is the open circuit voltage, R int is the internal resistance of the battery, J is the polarization constant, I bat (t′) is the discharge current of the battery.

5. A data processing method for the intelligent stretcher system according to any one of claims 1 to 4, characterized in that: The following steps are involved: S1: The vital sign monitoring module collects the vital sign data of the patient on the stretcher, including heart rate, blood pressure, blood oxygen saturation and body temperature data, and pre-processes the vital sign data to form pre-processed vital sign data; Wherein, k is the filter order number in the preprocessing process, N is the filter order, h[k] is the filter coefficient, n is the time series of vital sign data, x[n] is the input vital sign data, and y[n] is the preprocessed vital sign data obtained after preprocessing; S2: Fusing each of the pre-processed vital sign data obtained to obtain the patient's current comprehensive health index H; Among them, i is the type of preprocessed vital signs data, f(y i ) is the membership function of the i-th preprocessed vital sign data, w i is the weight coefficient, y0 is the ideal value of preprocessed vital signs data, y min ,y max is the minimum and maximum value of the preprocessed vital signs data; S3: Considering the timeliness of the patient's vital signs data, the time weight factor λ(t) is introduced to calculate the comprehensive health index H; Among them, t is the time of vital sign data collection, and Δt is the time the patient stays on the stretcher; S4: After the data processing module calculates the patient's comprehensive health index H, it generates a patient status data packet, which is sent to the remote monitoring center through the multi-channel wireless data transmission module; S5: The remote monitoring center obtains the signal corresponding to the patient status data packet by superimposing the signals of the multi-channel propagation path established by the multi-channel wireless data transmission module; Among them, T is the time tag of the signal, u is the number of the propagation path, U is the number of propagation paths, and a u is the amplitude of the propagation path u, τ u is the delay of propagation path u, s(.) is the transmission signal of the multi-channel wireless data transmission module, r(.) is the receiving signal of propagation path u, j is the phase shift weight coefficient, is the phase shift coefficient; S6: Based on the integrity of the historical signal transmission of the multi-channel propagation path, calculate the weighting coefficient β of each propagation path u ; Among them, x is the number of times the signal is sent in the history of the propagation path, X is the number of times the signal is sent in the history of the propagation path, κ0 is the length of the complete signal, and κ x is the actual length of the signal; S7: Based on the weighting coefficient β k The signals acquired from each propagation path are combined to obtain a final patient status data packet signal R; Among them, r u (T) is the received signal of the u-th propagation path, and χ is the noise correction term; S8: Analyze the final patient status data packet signal R to obtain the patient's current comprehensive health index H, which is used to evaluate the stability of the patient's current life status on the stretcher.

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