Wheelchair fitting and use status assessment and detection method, device and system

Abstract

The embodiment of the application provides a wheelchair adaptation and use state evaluation and detection method, device and system, relates to the wheelchair detection technical field, and the method comprises the following steps: acquiring various sensing data; wherein the sensing data comprises pressure sensing data, humidity sensing data and temperature sensing data; acquiring detection angle data of a gyroscope; performing timestamp alignment and standardization processing on the sensing data; based on a set detection rule, obtaining analysis results according to the sensing data and the detection angle data, judging whether an abnormal situation exists, and issuing a reminder; by detecting various sensing data and judging whether an abnormal use situation exists according to data analysis, comprehensive user state information can be provided, and the comfort and safety of a wheelchair user are significantly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wheelchair detection, in particular to a wheelchair adaptation and use state evaluation and detection method, device and system. BACKGROUND

[0002] Traditional wheelchair monitoring devices are usually limited to monitoring a single parameter, such as pressure or temperature, and cannot provide comprehensive user state information. This limitation may lead to skin damage, improper posture, and other risks for users who use wheelchairs for a long time. In the prior art, although some devices can monitor pressure, there is a lack of monitoring of temperature, humidity (such as urine wetness) and spinal angle, and it is difficult to complete long-term unlimited monitoring. These parameters are crucial for evaluating the comfort and safety of users. For example, temperature monitoring can detect skin elevation and identify pressure sore risks; humidity monitoring can help detect urine wetness in a timely manner to prevent skin infections; and inclination monitoring can help monitor spinal angle in real time, correct sitting posture, and reduce the risk of falls. SUMMARY

[0003] The purpose of the embodiments of the present application is to provide a wheelchair adaptation and use state evaluation and detection method, device and system, to solve the problem of single detection parameter of existing wheelchairs, which affects the comfort and safety of users.

[0004] In a first aspect, the embodiments of the present application provide a wheelchair adaptation and use state evaluation and detection method applied to a wheelchair control system, wherein the wheelchair control system includes a gyroscope and a sensor group arranged on a seat cushion, and the method includes:

[0005] Obtaining various sensing data; wherein the sensing data includes pressure sensing data, humidity sensing data and temperature sensing data;

[0006] Obtaining detection angle data of the gyroscope;

[0007] Timestamp alignment and standardization processing of the sensing data;

[0008] Based on the set detection rules, the analysis result is obtained according to the sensing data and the detection angle data, whether there is an abnormal situation is judged, and a reminder is issued.

[0009] In the implementation process, various sensing data are acquired; the sensing data include pressure sensing data, humidity sensing data and temperature sensing data; detection angle data of a gyroscope are acquired; the sensing data are subjected to timestamp alignment and standardization processing; based on a set detection rule, an analysis result is obtained according to the sensing data and the detection angle data, it is judged whether an abnormal situation exists, and a reminder is issued; by detecting various sensing data and judging whether an abnormal situation exists according to the data analysis, comprehensive user state information can be provided, and the comfort and safety of the wheelchair user are significantly improved.

[0010] Further, the obtaining of the analysis result based on the set detection rule according to the sensing data and the detection angle data, the judgment of whether an abnormal situation exists, and the issuance of the reminder include:

[0011] Based on the pressure matrix, the barycentric coordinate and the maximum pressure position are calculated, the evaluation index is generated in combination with the gyroscope data, and the abnormal state alarm is triggered according to the evaluation index;

[0012] The processed data are transmitted to an external device.

[0013] In the implementation process, the pressure distribution of the user's hips can be monitored in real time and accurately, the occurrence of pressure sores can be prevented, and the health monitoring and nursing management of the user can be realized.

[0014] Further, the obtaining of the analysis result based on the set detection rule according to the sensing data and the detection angle data, the judgment of whether an abnormal situation exists, and the issuance of the reminder include:

[0015] The pressure data of the sensor matrix are read;

[0016] The total pressure is calculated:

[0017] ;

[0018] wherein, is the pressure data, representing the pressure value of the ith row and the jth column, 1≤i≤n, 1≤j≤m; n represents the row of the sensor matrix, and m represents the column of the sensor matrix;

[0019] The barycentric coordinate is calculated:

[0020] ;

[0021] ;

[0022] wherein, represents the horizontal coordinate of each pressure sensor in the seat cushion plane coordinate system; represents the vertical coordinate of each pressure sensor in the seat cushion plane coordinate system;

[0023] Obtaining the maximum value based on the pressure data of all sensor matrices:

[0024] ;

[0025] Positioning the maximum pressure position:

[0026] ;

[0027] Calculating the evaluation index:

[0028] ;

[0029] wherein, and are weight coefficients; represents the relative proportion of the center of gravity offset; is the forward inclination angle of the user detected by the gyroscope.

[0030] In the above implementation process, the state data of the wheelchair user is comprehensively detected, which facilitates real-time monitoring of the user's state and taking intervention measures when necessary.

[0031] Further, the abnormal state alarm triggered according to the evaluation index includes:

[0032] If the distance between the maximum pressure position and any edge of the seat cushion is less than the set distance threshold, it is judged as an abnormal state and an alarm is triggered;

[0033] If the evaluation index exceeds the set evaluation threshold, it is judged as an abnormal state and an alarm is triggered.

[0034] In the above implementation process, whether there is an abnormal risk is judged according to each data, thereby enhancing the use safety of the user and avoiding the generation of risks.

[0035] Further, the acquisition of each item of sensor data includes:

[0036] Temperature sensing data is obtained through a thermistor, humidity sensing data is obtained through a humidity sensor, and pressure sensing data is obtained through a pressure sensor.

[0037] In the above implementation process, each item of data is comprehensively detected, realizing health monitoring and nursing management of the user.

[0038] Further, it further includes:

[0039] Based on the pressure center of gravity coordinate change amount and the pressure total value change amount, an evaluation index is generated in combination with the gyroscope angle change amount, and an abnormal state alarm is triggered according to the evaluation index;

[0040] The evaluation index is generated based on the pressure center coordinate change amount, the pressure total value change amount, and the gyro angle change amount, and an abnormal state alarm is triggered according to the evaluation index, including:

[0041] A sliding time window T seconds is set, the data update frequency is Δt seconds, and the window contains N groups of data;

[0042] The following parameters are subjected to time series analysis:

[0043] The pressure center coordinate change amount is:

[0044] ΔY_c(t) = Y_c(t) - Y_0;

[0045] Wherein, Y_0 is the center reference position of the seat cushion;

[0046] The gyro angle change amount is:

[0047] Δθ(t) =θ(t) - ;

[0048] Wherein, is the initial sitting angle;

[0049] The proportion of the area of the rear half of the seat cushion that is pressed is:

[0050] A(t) = the number of sensors in the rear half area that are pressed / total number of sensors;

[0051] Wherein, the number of sensors in the rear half area that are pressed is the number of sensors in the rear half area whose pressure is greater than the set pressure;

[0052] For the risk of body sliding down, the following parameters are combined to analyze the change trend in the time window:

[0053] ΔY_c(t) represents the pressure center coordinate change amount, and if ΔY_c<0, the risk of sliding down increases;

[0054] Δθ(t) represents the gyro angle change amount, and if Δθ<0, the risk of sliding down increases;

[0055] A(t) represents the proportion of the area of the rear half of the seat cushion that is pressed, and if the descending speed of A(t) is greater than a set descending threshold, it indicates that the body moves forward and slides down, and the risk increases;

[0056] The sliding risk evaluation formula is:

[0057] ;

[0058] Wherein, , , wherein, Y_c(t) is a parameter in the range of 0-100, θ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100;

[0059] By real-time monitoring of the values, early warning is performed.

[0060] When , a sliding alarm is triggered.

[0061] wherein, Y_c(t) is a parameter in the range of 0-100, θ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100; is a set threshold value.

[0062] For the risk of falling caused by getting up, the parameter trend is opposite:

[0063] ΔY_c(t) represents a change amount of a pressure center of gravity coordinate, and if ΔY_c>0, the risk of getting up is increased.

[0064] Δθ(t) represents a change amount of a gyroscope angle, and if Δθ>0, the risk is increased.

[0065] A(t) represents a proportion of a pressed area of a rear half of a seat cushion, and if a descending speed of A(t) is greater than a set descending threshold value, it indicates that a hip is away from the seat cushion.

[0066] A getting-up risk assessment formula is:

[0067] ;

[0068] wherein, Y_c(t) is a parameter in the range of 0-100, θ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100; , , is a coefficient, reflecting the influence degree of each parameter on the sliding risk, ΔY_c(t) is a parameter in the range of 0-100, Δθ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100;

[0069] When , a getting-up alarm is triggered.

[0070] wherein, Y_c(t) is a parameter in the range of 0-100, θ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100; is a set threshold value.

[0071] In a second aspect, an embodiment of the present application provides a wheelchair adaptation and use state evaluation and detection device, applied to a wheelchair control system, the wheelchair control system comprising a gyroscope and a sensor group arranged on a seat cushion, comprising:

[0072] a data acquisition module, configured to acquire various sensing data; wherein the sensing data comprises pressure sensing data, humidity sensing data and temperature sensing data;

[0073] an angle acquisition module, configured to acquire detection angle data of the gyroscope;

[0074] a data processing module, configured to perform timestamp alignment and standardization processing on the sensing data;

[0075] an abnormality judging module, configured to obtain an analysis result based on a set detection rule according to the sensing data and the detection angle data, judge whether an abnormal situation exists, and issue a reminder.

[0076] In a third aspect, an embodiment of the present application provides a wheelchair adaptation and use state evaluation and detection system, comprising: a wheelchair control system, a wheelchair, a seat cushion arranged on the wheelchair, and the wheelchair adaptation and use state evaluation and detection device as described above; the wheelchair control system comprises a central processing unit, a Bluetooth transmission module, a power management unit, a gyroscope, and a sensor group arranged on the seat cushion, and the central processing unit is connected to the Bluetooth transmission module, the gyroscope, and the sensor group.

[0077] Further, the wheelchair adaptation and use state evaluation and detection system further comprises a pressure sensing pad and a humidity sensing pad, the sensor group comprises a pressure sensor, a humidity sensor, and a thermistor, the pressure sensing pad is arranged on the seat cushion, the humidity sensing pad is arranged on the pressure sensing pad, the pressure sensor is arranged on the pressure sensing pad, the humidity sensor is arranged on the humidity sensing pad, and the thermistor is arranged on the humidity sensing pad.

[0078] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising:

[0079] a processor, a memory, and a bus, the processor is connected to the memory through the bus, and the memory stores computer readable instructions, when the computer readable instructions are executed by the processor, the computer readable instructions are used to implement the wheelchair adaptation and use state evaluation and detection method as described above.

[0080] In a fifth aspect, an embodiment of the present application provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed by a server to implement the wheelchair adaptation and use state evaluation and detection method as described above. BRIEF DESCRIPTION OF DRAWINGS

[0081] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0082] Figure 1 A flowchart of a wheelchair adaptation and use state evaluation and detection method provided by an embodiment of the present application is shown in the figure.

[0083] Figure 2 is a structural schematic diagram of a wheelchair fitting and use state evaluation and detection device provided by an embodiment of the present application;

[0084] Figure 3 is a front structure schematic diagram of a wheelchair fitting and use state evaluation and detection system provided by an embodiment of the present application;

[0085] Figure 4 is a back structure schematic diagram of a wheelchair fitting and use state evaluation and detection system provided by an embodiment of the present application;

[0086] Figure 5 is a sensor part installation combination structure schematic diagram of a wheelchair fitting and use state evaluation and detection system provided by an embodiment of the present application;

[0087] Figure 6 is a humidity sensing pad structure schematic diagram of a wheelchair fitting and use state evaluation and detection system provided by an embodiment of the present application;

[0088] Figure 7 is a pressure sensing pad structure schematic diagram of a wheelchair fitting and use state evaluation and detection system provided by an embodiment of the present application;

[0089] Figure 8 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0090] The technical solutions in the embodiments of the present application will be described below with reference to the drawings.

[0091] It should be noted that similar reference numerals and letters refer to similar items in the following drawings, and therefore, once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms “first”, “second”, and the like are only used to distinguish description, and cannot be understood as indicating or implying relative importance.

[0092] Please refer to Figure 1 , Figure 1 is a flow schematic diagram of a wheelchair fitting and use state evaluation and detection method provided by an embodiment of the present application. The wheelchair fitting and use state evaluation and detection method is applied to a wheelchair control system, the wheelchair control system includes a central processing unit, a Bluetooth transmission module, a power management unit, a gyroscope, and a sensor group arranged on a seat cushion, and the method includes:

[0093] 100, acquiring various sensing data; wherein the sensing data includes pressure sensing data, humidity sensing data, and temperature sensing data.

[0094] Specifically, temperature sensing data is obtained by the thermistor, humidity sensing data is obtained by the humidity sensor, pressure sensing data is obtained by the pressure sensor, and the obtained sensing data is sent to the central processing unit for processing, and the processed data is wirelessly transmitted to external devices such as smartphones, tablets or monitoring systems of nursing centers through the Bluetooth transmission module; thus, comprehensive detection of various data is realized to achieve health monitoring and nursing management of users.

[0095] Optionally, the collected sensing data is pre-processed. For example, for the temperature sensor, nonlinear correction may be needed to reflect the true temperature.

[0096] Optionally, the working state of the wheelchair is monitored in combination with the pressure and temperature data.

[0097] 200, obtain the detection angle data of the gyroscope.

[0098] Optionally, the gyroscope is installed on the belt and fixed to the chest position of the wheelchair user to monitor the forward and backward and left and right angles of the user's spine. The forward inclination angle θ (in degrees) of the spine is monitored in real time. If the forward inclination angle θ is positive, it indicates that the body is leaning forward, and if the backward inclination angle θ is negative, it indicates that the body is leaning backward.

[0099] Specifically, the central processing unit collects and processes data from the pressure sensor, humidity sensor, thermistor and gyroscope, analyzes the data through an embedded algorithm, and identifies abnormal conditions.

[0100] 300, time stamp alignment and standardization processing of sensing data.

[0101] It can be understood that time stamp alignment refers to arranging data from different sensors or different time points according to a unified time reference to ensure the consistency of the data in time; in a multi-sensor system, due to factors such as sensor sampling frequency and data transmission delay, the time stamps of the data may not be consistent, and time stamp alignment is a prerequisite for data fusion and analysis.

[0102] For example, the alignment method has multiple methods, interpolation method: for missing time points, the corresponding data values can be estimated by interpolation algorithm (such as linear interpolation, polynomial interpolation, etc.). For example, the nearest neighbor method: selecting the existing data closest to the missing time point as a substitute. For example, time window method: set a time window, and consider all sensor data within the window as data at the same time point.

[0103] It can be understood that standardization processing refers to converting sensing data to a unified dimension and range for subsequent data analysis and comparison; standardization helps to eliminate the dimensional differences between different sensors and improve the comparability and interpretability of the data.

[0104] For example, there are various standardized methods. Z-score standardization: convert data to a standard normal distribution with a mean of 0 and a standard deviation of 1, suitable for data distribution relatively uniform. Min-Max standardization: linearly transform data to [0, 1] or [-1, 1] interval, suitable for data range known and relatively stable. Decimal scaling standardization: convert data to [-1, 1] by moving the decimal point of the data, suitable for data distribution relatively concentrated.

[0105] It should be noted that the timestamp alignment and standardization processing are usually carried out at the same time. First, through the timestamp alignment, the consistency of the data in time is ensured; then, through the standardization processing, the dimensional difference of the data is eliminated.

[0106] 400、Based on the set detection rule, the analysis result is obtained according to the sensing data and the detection angle data, whether there is an abnormal situation is judged, and a prompt is sent.

[0107] 410、Based on the pressure matrix, the barycenter coordinates and the maximum pressure position are calculated, the evaluation index is generated combined with the gyroscope data, and the abnormal state alarm is triggered according to the evaluation index.

[0108] Optionally, the pressure matrix based on the barycenter coordinates and the maximum pressure position is calculated, combined with the gyroscope data to generate an evaluation index, comprising:

[0109] Read the pressure data of the sensor matrix;

[0110] Calculate the total pressure:

[0111] ;

[0112] Wherein, is the pressure data, indicating the pressure value of the ith row and the jth column, 1≤i≤n, 1≤j≤m; n represents the row of the sensor matrix, and m represents the column of the sensor matrix;

[0113] Calculate the barycenter coordinates:

[0114] ;

[0115] ;

[0116] Wherein, represents the horizontal coordinate of each pressure sensor in the seat cushion plane coordinate system; represents the vertical coordinate of each pressure sensor in the seat cushion plane coordinate system;

[0117] Based on the pressure data of all sensor matrices, the maximum value is obtained:

[0118] ;

[0119] Positioning the maximum pressure position:

[0120] ;

[0121] Calculating the evaluation index:

[0122] ;

[0123] wherein, and are weight coefficients; represents the relative proportion of the center of gravity offset; is the forward inclination angle of the user detected by the gyroscope.

[0124] Thus, the state data of the wheelchair user is comprehensively detected, which facilitates real-time monitoring of the state of the user and taking intervention measures when necessary.

[0125] For example, the pressure sensor adopts 32x32 matrix pressure data, and the center of gravity coordinates (x, y) and the maximum pressure position (x, y) are calculated. , . .

[0126] Determine the maximum pressure: find the maximum value in all 32x32 matrix pressure data . .

[0127] Positioning the maximum pressure position:

[0128] ;

[0129] wherein, the sliding risk assessment, if the maximum pressure position is close to the front edge or side edge of the seat cushion, such as the distance from any edge of the seat cushion is less than the set distance threshold, indicating that the user's body has deviated to the edge of the seat cushion, and there is a risk of sliding. It can be understood that the specific value of the set distance threshold can be set according to the needs.

[0130] The center of gravity center coordinate calculation method: read the seat cushion pressure data of the 32x32 sensor matrix , wherein 1≤i≤32, 1≤j≤32, represents the pressure value of the ith row and jth column.

[0131] Calculate the total pressure:

[0132] ;

[0133] Calculate the center of gravity coordinates (x, y): , :

[0134] Let and represent the horizontal and vertical coordinates of each pressure sensor in the cushion plane coordinate system.

[0135] The center of gravity coordinates are calculated using the following formula:

[0136] ;

[0137] .

[0138] Thus, the center of gravity coordinates of the pressure distribution on the cushion can be accurately calculated, thereby providing a scientific basis for cushion design and user comfort.

[0139] Optionally, the abnormal state alarm triggered according to the evaluation index includes:

[0140] If the distance between the maximum pressure position and any edge of the cushion is less than the set distance threshold, it is determined to be an abnormal state and an alarm is triggered; if the evaluation index exceeds the set evaluation threshold, it is determined to be an abnormal state and an alarm is triggered.

[0141] Thus, according to the data, it can be determined whether there is an abnormal risk, thereby enhancing the safety of the user and avoiding the occurrence of risks.

[0142] For example, if the maximum pressure position is close to the front edge or side edge of the cushion, such as the distance from any edge of the cushion being less than the set distance threshold, it indicates that the user's body has deviated towards the edge of the cushion, and there is a risk of falling. It can be understood that the specific value of the set distance threshold can be set according to the needs.

[0143] For example, the evaluation index exceeds the set evaluation threshold, the system determines that it is an abnormal state and triggers an alarm. For example, when > 1.5, it indicates that the user may be in a forward-leaning falling risk state; when <-1.0, it indicates that the user may be in a falling risk state.

[0144] 420, transmit the processed data to an external device.

[0145] Specifically, the processed data is wirelessly transmitted to an external device, such as a smart phone, a tablet computer or a monitoring system of a care center, through a Bluetooth transmission module.

[0146] The embodiments of the present application can be used for clinical service of wheelchair and pressure ulcer prevention cushion. When a disabled person selects a wheelchair and a pressure ulcer prevention cushion, the system is placed above the wheelchair cushion to assist the clinical service of the wheelchair and the pressure ulcer prevention cushion by observing the pressure sensor pressure value, pressure center coordinates, temperature and gyroscope angle. The pressure value and temperature level help to determine the risk of pressure ulcer of the disabled person; the pressure value and pressure center coordinates help to determine whether the user's wheelchair sitting posture is correct. If the pressure value is too large and the pressure center deviates, it means that the wheelchair and the cushion are not correctly selected or used. In a unit of time, the pressure center deviation and the envelope area reflect the static stability of the user on the wheelchair and the cushion. The change angle of the trunk displayed by the gyroscope reflects the dynamic stability of the user on the wheelchair and the cushion. The system assists in selecting the wheelchair and the pressure ulcer prevention cushion, adjusts the wheelchair (seat width, seat depth, footboard height, armrest height, side support height and seat surface inclination angle, etc.) and the pressure ulcer prevention cushion (inflation amount, thickness, positioning module, etc.), and guides the clinical effect evaluation of the wheelchair and the pressure ulcer prevention cushion.

[0147] The embodiments of the present application can be used for daily use monitoring of the pressure ulcer prevention cushion of the wheelchair user. 24-hour Bluetooth transmission is adopted for daily monitoring of the pressure ulcer prevention cushion of the wheelchair user. Whether incontinence occurs (the humidity sensor value exceeds the critical value) is monitored by the humidity sensor. Whether the air bag of the pressure ulcer prevention cushion leaks (the local pressure exceeds the critical value or changes greatly in a short period of time) is monitored by the pressure sensor. The user is reminded to perform a sitting position decompression operation (when the maximum pressure area exceeds the critical value and the maximum pressure area duration exceeds the critical value).

[0148] The embodiments of the present application can be used for daily sitting posture monitoring and alarm of the wheelchair user. Getting-up alarm: for disabled elderly people, especially for the elderly with dementia, it is easy to have risks when getting up from the wheelchair by themselves. When there is a tendency to get up by themselves, an alarm is triggered. (The pressure center coordinates move forward + the gyroscope angle tilts forward + the total pressure value increases). Forward sliding alarm for sitting posture: for all types of wheelchair users, especially the elderly, there is a risk of falling when sliding forward after sitting on the wheelchair for a long time. When there is a tendency to slide forward, an alarm is triggered. (The pressure center coordinates move + the gyroscope angle tilts backward + the total pressure value changes).

[0149] Among them, the sliding time window T = 3 seconds is set, the data update frequency is Δt = 0.5 seconds, and the window contains N = 6 groups of data. It can be understood that setting the time window mechanism ensures data continuity and reduces false alarms.

[0150] The following parameters are subjected to time series analysis:

[0151] The pressure center coordinate change amount ΔY_c(t) = Y_c(t) - Y_0; wherein Y_0 is the center reference position of the cushion;

[0152] Gyroscope angle change amount Δθ(t) = θ(t) - θ(t-1) is the initial sitting angle;

[0153] Rear half of the cushion area compression ratio A(t) = rear half area compression sensor number / total sensor number; wherein the rear half area compression sensor number is the number of sensors in the rear half area whose pressure is greater than the set pressure; specifically, the rear half area can divide the area of the cushion into two areas, the rear half area is the area close to the backrest, the pressure of all sensors in the rear half area is obtained, and the number of sensors whose pressure is greater than the set pressure is selected to obtain the rear half area compression sensor number. The set pressure can be set according to specific requirements, and the present application embodiment does not limit this.

[0154] For the risk of body sliding down, the following parameters are combined to determine the change trend in the time window:

[0155] ΔY_c(t) represents the change in the pressure center of gravity coordinates, and if ΔY_c < 0, the risk of sliding down increases.

[0156] Δθ(t) represents the change in the gyroscope angle, and if Δθ < 0, the risk of sliding down increases.

[0157] A(t) represents the compression area ratio of the rear half of the cushion, and if the descending speed of A(t) is greater than the set descending threshold, it indicates that the body moves forward and slides down, and the risk increases.

[0158] The sliding down risk assessment formula is:

[0159] ;

[0160] wherein, , , is a coefficient reflecting the influence of each parameter on the sliding down risk; ΔY_c(t) is a parameter in the range of 0-100, Δθ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100; by monitoring the value of in real time, the system can timely warn and ensure patient safety.

[0161] When (such as -1.2), a sliding down alarm is triggered; is a set threshold.

[0162] For the risk of falling down caused by getting up, the parameter trend is opposite:

[0163] ΔY_c(t) is the change in the pressure center of gravity coordinates, and if ΔY_c > 0, the risk of getting up increases.

[0164] ​​Δθ(t) represents the change in the angle of the gyroscope, and if Δθ>0, the risk increases.

[0165] A(t) represents the proportion of the area of the rear half of the seat cushion that is pressed, and if the rate of decrease of A(t) is greater than a set decrease threshold, it indicates that the buttocks are moving away from the seat cushion.

[0166] The standing risk evaluation formula is:

[0167] ;

[0168] wherein, 、 、 is a coefficient, reflecting the influence degree of each parameter on the sliding risk, ΔY_c(t) is a parameter in the range of 0-100, Δθ(t) is a parameter in the range of 0-180, and A(t) is a parameter in the range of 0-100.

[0169] When (1.5), a standing alarm is triggered; is a set threshold.

[0170] Optionally, ΔY_c(t) is a parameter in the range of 0-100, with the unit of mm; Δθ(t) is a parameter in the range of 0-180, with the unit of degrees; and A(t) is a parameter in the range of 0-100, with the unit of %.

[0171] In the above, the embodiments of the present application obtain various sensing data; wherein the sensing data includes pressure sensing data, humidity sensing data and temperature sensing data; the detection angle data of the gyroscope is obtained; the sensing data is time-stamped and standardized; based on a set detection rule, the analysis result is obtained according to the sensing data and the detection angle data, whether there is an abnormal situation is judged, and a reminder is given; by detecting various sensing data and analyzing whether there is a use abnormal situation according to the data, comprehensive user state information can be provided, and the comfort and safety of the wheelchair user are significantly improved.

[0172] The above steps are not strictly executed in the order described by the numbers, and should be understood as a whole scheme.

[0173] In the second aspect, on the basis of the above embodiments, Figure 2 is a structural schematic diagram of a wheelchair adaptation and use state evaluation and detection device provided by the embodiments of the present application. Referring to Figure 2 , the wheelchair adaptation and use state evaluation and detection device provided by the embodiments of the present application is applied to a wheelchair control system, and the wheelchair control system includes a gyroscope and a sensor group arranged on a seat cushion, and specifically includes a data acquisition module 201, an angle acquisition module 202, a data processing module 203 and an abnormality judgment module 204.

[0174] The data acquisition module 201 is configured to acquire various sensing data, wherein the sensing data includes pressure sensing data, humidity sensing data and temperature sensing data; the angle acquisition module 202 is configured to acquire detection angle data of the gyroscope; the data processing module 203 is configured to perform timestamp alignment and standardization processing on the sensing data; the abnormality judgment module 204 is configured to obtain an analysis result based on a set detection rule according to the sensing data and the detection angle data, judge whether there is an abnormal situation, and issue a reminder.

[0175] In the above, the embodiment of the present application acquires various sensing data, wherein the sensing data includes pressure sensing data, humidity sensing data and temperature sensing data; acquires detection angle data of the gyroscope; performs timestamp alignment and standardization processing on the sensing data; obtains an analysis result based on a set detection rule according to the sensing data and the detection angle data, judges whether there is an abnormal situation, and issues a reminder; by detecting various sensing data and analyzing whether there is a use abnormal situation according to the data, comprehensive user state information can be provided, and the comfort and safety of the wheelchair user are significantly improved.

[0176] The wheelchair adaptation and use state evaluation and detection device provided by the embodiment of the present application can be used to execute the wheelchair adaptation and use state evaluation and detection method provided by the above-mentioned embodiment, and has the corresponding functions and beneficial effects.

[0177] In a third aspect, on the basis of the above-mentioned embodiment, with reference to Figures 3-7 The wheelchair adaptation and use state evaluation and detection system provided by the embodiment of the present application includes: a wheelchair control system, a wheelchair 30, a seat cushion 31 arranged on the wheelchair, a wheelchair adaptation and use state evaluation and detection device as described above; the wheelchair control system includes a central processing unit 32, a Bluetooth transmission module, a power management unit, a gyroscope 33 and a sensor group arranged on the seat cushion, and the central processing unit is connected to the Bluetooth transmission module, the gyroscope and the sensor group.

[0178] The power management unit provides power supply for the whole system, supports long-time stable operation, and includes a rechargeable battery and a power management circuit, thereby ensuring the portability and reliability of the device.

[0179] It can be understood that the wheelchair adaptation and use state evaluation and detection system realizes comprehensive monitoring of the user state by integrating various sensors; the nursing staff can view the health data of the user in real time through a mobile device, and take intervention measures when necessary, thereby improving the comfort and safety of the user.

[0180] In some embodiments, a pressure sensing pad 34 and a humidity sensing pad 35 are further included, and the sensor group includes a pressure sensor 36, a humidity sensor 37, and a thermistor 38, the pressure sensing pad is arranged on the seat cushion, the humidity sensing pad is arranged on the pressure sensing pad, the pressure sensor is arranged on the pressure sensing pad, the humidity sensor is arranged on the humidity sensing pad, and the thermistor is arranged on the humidity sensing pad.

[0181] The buttock pressure sensing pad is made of a flexible fiber material, has an appearance size of 550mm x 530mm, a sensing area of 400mm x 400mm, and contains 1024 sensing points uniformly distributed in the inside of the pad. A pressure data acquisition module is fixed to one side edge of the buttock pressure sensing pad, and is used to acquire pressure data of the buttocks of a user in real time, for analyzing pressure distribution and monitoring pressure sores.

[0182] The humidity sensing pad is arranged on the upper layer of the pressure sensing pad and is tightly sewn and fixed, has an appearance size of about 490mm x 440mm, and a sensing area of 340mm x 370mm. The humidity sensing pad can detect urine wetness and monitor humidity changes in real time.

[0183] The four thermistors are fixed in the inside of the humidity sensing pad and are distributed at four corner positions in the sensing area, and are used to monitor temperature changes of the buttocks in all directions.

[0184] The gyroscope is installed on the strap 39 and is fixed to the chest position of a person, and is used to monitor the front-back and left-right angles of the spine of the user.

[0185] In a fourth aspect, the embodiments of the present application further provide an electronic device which can integrate the wheelchair adaptation and use state evaluation and detection device provided by the embodiments of the present application. Figure 8 is a structural schematic diagram of an electronic device provided by the embodiments of the present application. Referring to Figure 8 The electronic device includes an input device 83, an output device 84, a memory 82, and one or more processors 81; the memory 82 is used to store one or more programs; when the one or more programs are executed by the one or more processors 81, the one or more processors 81 implement the wheelchair adaptation and use state evaluation and detection method provided by the above embodiments. The input device 83, the output device 84, the memory 82, and the processor 81 can be connected by a bus or other means, Figure 8 for example, by a bus connection in the figure.

[0186] The processor 81 executes various function applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 82, that is, implements the wheelchair adaptation and use state evaluation and detection method described above.

[0187] The electronic device provided above can be used to execute the wheelchair fitting and use state evaluation and detection method provided by the above embodiments, and has the corresponding functions and beneficial effects.

[0188] In a fifth aspect, the embodiments of the present application further provide a computer readable storage medium, which includes a stored computer program; wherein the computer program, when running, controls a device where the computer readable storage medium is located to execute the wheelchair fitting and use state evaluation and detection method as described above, and can achieve the same beneficial effects.

[0189] Of course, the storage medium provided by the embodiments of the present application includes computer executable instructions, which are not limited to the wheelchair fitting and use state evaluation and detection method as described above, but can also perform the related operations in the wheelchair fitting and use state evaluation and detection method provided by any embodiment of the present application.

[0190] In a sixth aspect, the embodiments of the present application further provide a computer program product. The methods described in the embodiments of the present application can be implemented by software, hardware, firmware or any combination thereof, in whole or in part. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer programs or instructions. When the computer programs or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are executed in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user equipment, a core network device, an OAM (Open Application Model) or other programmable devices.

[0191] The computer programs or instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer programs or instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through wired or wireless manner. The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center and the like integrated with one or more available media. The available media can be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape; or an optical medium, such as a digital video disc; or a semiconductor medium, such as a solid state disk. The computer readable storage medium can be a volatile or non-volatile storage medium, or can include both volatile and non-volatile storage media.

[0192] It should be understood that all the functional modules in the embodiments provided by the present application can be integrated or can exist alone, and two or more functional modules can be integrated to form an independent part.

[0193] In addition, each functional module in the embodiments of the present application can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0194] If the functions are realized in the form of software function modules and sold or used as an independent product, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, and includes a number of instructions for causing an electronic device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program codes that can be stored in the medium.

[0195] The above only describes the embodiments of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0196] The above descriptions are merely specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0197] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one entity or action from another, without necessarily requiring or implying any actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus.

Claims

1. A wheelchair fitting and use status assessment and detection method, characterized in that, The application is applied to a wheelchair control system comprising a gyroscope and a sensor group arranged on a seat cushion, and the method comprises: Obtaining various sensing data; wherein the sensing data comprises pressure sensing data, humidity sensing data and temperature sensing data; Obtaining detection angle data of the gyroscope; Timestamp alignment and standardization processing are performed on the sensing data; Based on the set detection rule, the analysis result is obtained according to the sensing data and the detection angle data, whether there is an abnormal situation is judged, and a reminder is given; Based on the pressure gravity center coordinate change amount and the pressure total value change amount, an evaluation index is generated in combination with the gyroscope angle change amount, and an abnormal state alarm is triggered according to the evaluation index; The evaluation index generated in combination with the gyroscope angle change amount based on the pressure gravity center coordinate change amount and the pressure total value change amount, and the abnormal state alarm triggered according to the evaluation index, comprise: A sliding time window T seconds is set, the data update frequency is Δt seconds, and the window contains N groups of data; Time series analysis is performed on the following parameters: The pressure gravity center coordinate change amount is: ΔY_c(t) = Y_c(t) - Y_0; Wherein Y_0 is the center reference position of the seat cushion; The gyroscope angle change amount is: Δθ(t) = θ(t) - θ(t - 1) ; wherein is the initial sitting angle; The proportion of the area of the rear half of the seat cushion being pressed is: A(t) = the number of sensors in the rear half area being pressed / the total number of sensors; Wherein the number of sensors in the rear half area being pressed is the number of sensors with a pressure greater than the set pressure in the rear half area; For the risk of body sliding, the following parameters are combined to analyze the change trend in the time window: ΔY_c(t) represents the pressure gravity center coordinate change amount, and if ΔY_c < 0, the risk of sliding increases; Δθ(t) represents the gyroscope angle change amount, and if Δθ < 0, the risk of sliding increases; A(t) represents the proportion of the area of the rear half of the seat cushion being pressed, and if the descending speed of A(t) is greater than the set descending threshold, it indicates that the body is moving forward and sliding, and the risk increases; The sliding risk evaluation formula is: ； wherein, , , are coefficients reflecting the degree of influence of each parameter on the slip risk, ΔY_c(t) is a parameter in the range 0-100, Δθ(t) is a parameter in the range 0-180, and ΔA(t) is a parameter in the range 0-100. By monitoring in real time Values, to give an early warning; When , a slip alert is triggered; wherein is a set threshold value; For the risk of falling caused by getting up, the parameter trend is opposite: ΔY_c(t) represents the pressure gravity center coordinate change amount, and if ΔY_c > 0, the risk of getting up increases; Δθ(t) represents the gyroscope angle change amount, and if Δθ > 0, the risk increases; A(t) represents the proportion of the area of the rear half of the seat cushion being pressed, and if the descending speed of A(t) is greater than the set descending threshold, it indicates that the buttocks are leaving the seat cushion; The getting-up risk evaluation formula is: ； wherein, , , are coefficients reflecting the degree of influence of each parameter on the slip risk, ΔY_c(t) is a parameter in the range 0-100, Δθ(t) is a parameter in the range 0-180, and ΔA(t) is a parameter in the range 0-100. When , a panic alarm is triggered; wherein is a set threshold value.

2. The wheelchair fitting and use condition assessment and detection method according to claim 1, characterized in that, The evaluation index generated in combination with the gyroscope data based on the pressure matrix calculation of the gravity center coordinate and the maximum pressure position, and the abnormal state alarm triggered according to the evaluation index, comprise: Based on the pressure matrix calculation of the gravity center coordinate and the maximum pressure position, the evaluation index is generated in combination with the gyroscope data, and the abnormal state alarm is triggered according to the evaluation index; The processed data is transmitted to an external device.

3. The wheelchair fitting and use condition assessment and detection method according to claim 2, characterized in that, The evaluation index generated in combination with the gyroscope data based on the pressure matrix calculation of the gravity center coordinate and the maximum pressure position, and the abnormal state alarm triggered according to the evaluation index, comprise: Reading the pressure data of the sensor matrix; Calculating the total pressure: ； wherein Pijis the pressure data, representing the pressure value of the ith row, jth column, 1≤i≤n, 1≤j≤m; n represents the rows of the sensor matrix, m represents the columns of the sensor matrix; Calculating the gravity center coordinate: ； ； wherein, represents the horizontal coordinate of each pressure sensor in the seat cushion plane coordinate system; represents the vertical coordinate of each pressure sensor in the seat cushion plane coordinate system; Obtaining the maximum value based on the pressure data of all sensor matrices: ； Positioning the maximum pressure position: ； Calculating the evaluation index: ； wherein, and is a weight coefficient; represents a relative proportion of the center of gravity offset; is a forward tilt angle of the user detected by the gyroscope.

4. The wheelchair fitting and use condition assessment and detection method according to claim 3, characterized in that, The abnormal state alarm triggered according to the evaluation index, comprises: If the distance between the maximum pressure position and any edge of the seat cushion is less than a set distance threshold, an abnormal state is determined and an alarm is triggered; If the evaluation index exceeds a set evaluation threshold, an abnormal state is determined and an alarm is triggered.

5. The wheelchair fitting and use condition assessment and detection method according to claim 1, characterized in that, The acquisition of various sensing data includes: Temperature sensing data is acquired by a thermistor, humidity sensing data is acquired by a humidity sensor, and pressure sensing data is acquired by a pressure sensor.

6. A wheelchair fitting and in-use condition assessment and detection apparatus, characterised in that, The wheelchair control system includes a gyroscope and a sensor group arranged on a seat cushion, and includes: A data acquisition module is configured to acquire various sensing data; wherein the sensing data includes pressure sensing data, humidity sensing data, and temperature sensing data; An angle acquisition module is configured to acquire detection angle data of the gyroscope; A data processing module is configured to perform timestamp alignment and standardization processing on the sensing data; An abnormality judgment module is configured to obtain an analysis result based on a set detection rule, according to the sensing data and the detection angle data, to determine whether there is an abnormal situation, and to issue a reminder; The anomaly detection module is further configured to generate evaluation indicators based on the changes in the pressure center of gravity coordinates and the total pressure, combined with the changes in the gyroscope angle, and trigger an anomaly alarm based on these evaluation indicators. This process includes: setting a sliding time window of T seconds, a data update frequency of Δt seconds, and containing N sets of data within the window; performing time series analysis on the following parameters: the change in pressure center of gravity coordinates is: ΔY_c(t) = Y_c(t) - Y_0; where Y_0 is the center reference position of the seat cushion; the change in gyroscope angle is: Δθ(t) = θ(t) - ;in, The initial sitting angle is used; the proportion of the rear half of the seat cushion that is pressed is: A(t) = number of sensors pressed in the rear half / total number of sensors; where the number of sensors pressed in the rear half is the number of sensors in the rear half whose pressure is greater than the set pressure; regarding the risk of slipping, the following parameters are considered within a time window: ΔY_c(t) represents the change in the coordinate of the pressure center of gravity. If ΔY_c < 0, the risk of slipping increases; Δθ(t) represents the change in the gyroscope angle. If Δθ < 0, the risk of slipping increases; A(t) represents the proportion of the rear half of the seat cushion that is pressed. If the descent speed of A(t) is greater than the set descent threshold, it indicates that the body is moving forward and slipping, increasing the risk; the slipping risk assessment formula is: ;in, , , The coefficients represent the influence of each parameter on the risk of slippage. ΔY_c(t) is a parameter ranging from 0 to 100, Δθ(t) is a parameter ranging from 0 to 180, and ΔA(t) is a parameter ranging from 0 to 100. Real-time monitoring... Value, issue an early warning; when This triggers a slip alarm; among them, The threshold values ​​are set; for the risk of falling due to standing up, the parameters have opposite trends: ΔY_c(t) represents the change in the coordinates of the pressure center of gravity; if ΔY_c > 0, the risk of standing up increases; Δθ(t) represents the change in the gyroscope angle; if Δθ > 0, the risk increases; A(t) represents the proportion of the rear half of the seat cushion that is pressed down; if the descent speed of A(t) is greater than the set descent threshold, it indicates that the buttocks have left the seat cushion; the formula for assessing the risk of standing up is: ;in, , , The coefficients represent the influence of each parameter on the risk of slippage. ΔY_c(t) is a parameter ranging from 0 to 100, Δθ(t) is a parameter ranging from 0 to 180, and ΔA(t) is a parameter ranging from 0 to 100. trigger an alarm; wherein is a set threshold value.

7. A wheelchair fit and use status assessment and detection system, characterized in that, It includes: A wheelchair control system, a wheelchair, a seat cushion arranged on the wheelchair, and a wheelchair fitting and use state evaluation and detection device as claimed in claim 6; the wheelchair control system includes a central processing unit, a Bluetooth transmission module, a power management unit, a gyroscope, and a sensor group arranged on the seat cushion; the central processing unit is connected to the Bluetooth transmission module, the gyroscope, and the sensor group.

8. The wheelchair fit and use condition assessment and detection system of claim 7, wherein, It also includes a pressure sensing pad and a humidity sensing pad; the sensor group includes a pressure sensor, a humidity sensor, and a thermistor; the pressure sensing pad is arranged on the seat cushion; the humidity sensing pad is arranged on the pressure sensing pad; the pressure sensor is arranged on the pressure sensing pad; the humidity sensor is arranged on the humidity sensing pad; and the thermistor is arranged on the humidity sensing pad.

9. An electronic device, comprising: It includes: A processor, a memory, and a bus; the processor is connected to the memory through the bus; the memory stores computer readable instructions; when the computer readable instructions are executed by the processor, the wheelchair fitting and use state evaluation and detection method as claimed in any one of claims 1-5 is implemented.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program; when the computer program is executed by a server, the wheelchair fitting and use state evaluation and detection method as claimed in any one of claims 1-5 is implemented.

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