Elderly health status monitoring system based on wristband oximeter

Abstract

The present invention specifically provides a health monitoring system for the elderly based on a wristband oximeter, comprising a status determination module, a motion index module, a fatigue index module, and an analysis and processing module. The wristband oximeter measures the number of steps taken and also monitors key physiological parameters such as blood oxygen saturation, pulse rate, and perfusion index. These parameters are then analyzed in depth under different motion states to generate motion indexes, fatigue indexes, and coordination indexes. This system enables comprehensive, multi-dimensional monitoring of the elderly's health status, more accurately reflecting their physical condition and enabling the timely identification of potential health issues.

Description

Technical Field

[0001] The present invention relates to the field of medical health technology, and in particular to a health status monitoring system for the elderly based on a wristband oximeter. Background Art

[0002] At present, wristband oximeters, as a convenient wearable device, have been widely used in the field of elderly health monitoring because they can monitor basic physiological parameters such as blood oxygen saturation and pulse rate in real time and non-invasively.

[0003] However, existing wrist-worn oximeter-based monitoring systems generally suffer from functional limitations. Most are only capable of recording a single or limited set of physiological parameters, failing to fully explore the rich insights these data hold about the overall health of older adults. For example, they are unable to effectively analyze physiological parameters in conjunction with exercise status, making it difficult to accurately assess changes in physical function during different activity states. They also fail to promptly detect potential health risks such as fatigue and abnormal movement, and are unable to provide comprehensive, targeted health warnings and guidance to older adults and their caregivers.

[0004] Therefore, a health status monitoring system for the elderly based on a wristband oximeter is needed to solve the above-mentioned problems. Summary of the Invention

[0005] The purpose of the present invention is to solve the above problems and to propose a health status monitoring system for the elderly based on a wristband oximeter.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The elderly health status monitoring system based on wristband oximeter includes the following parts:

[0008] Status determination module: obtains the wearer's exercise steps through a wrist-worn oximeter and analyzes the exercise steps to obtain the exercise status;

[0009] Motion Index Module: Based on the obtained motion state, obtains parameter information monitored by the wrist oximeter during each motion state; analyzes the parameter information monitored for each motion state to obtain the motion index corresponding to each motion state; the parameter information includes blood oxygen saturation, pulse rate, and perfusion index;

[0010] Fatigue index module: Analyzes the process of each parameter information returning from each exercise state to the relaxation state in turn to obtain the fatigue index;

[0011] Analysis and processing module: conducts a comprehensive analysis of the motion index and fatigue index to obtain an evaluation index, and analyzes the obtained evaluation index to perform corresponding early warning processing.

[0012] Preferably, the method of obtaining the number of steps of the wearer by a wrist oximeter and analyzing the number of steps to obtain the exercise state specifically includes the following parts:

[0013] At preset time intervals, the wearer's exercise steps are obtained through a wrist oximeter, and the difference between two adjacent exercise steps obtained in the time series is calculated. The difference calculation result is divided by the time interval, and the absolute value is taken to obtain the step frequency; different step frequencies are preset to correspond to different exercise states, so as to determine the exercise state corresponding to the step frequency; the exercise state is divided into relaxation state, walking state, and running state.

[0014] Preferably, the analysis of the parameter information respectively monitored for each motion state specifically includes the following parts:

[0015] Obtain parameter information corresponding to a number of wristband oximeter wearers in a relaxed state, and sequentially calculate the average of the blood oxygen saturation, pulse rate, and perfusion index in the parameter information to obtain the average blood oxygen saturation, pulse rate, and perfusion index;

[0016] The mean values ​​of the parameter information measured when the exercise state is in a relaxed state are used as the standard values ​​corresponding to blood oxygen saturation, pulse rate, and perfusion index respectively;

[0017] Obtain the parameter information corresponding to each motion state, and perform difference calculations on the parameter information with the corresponding standard value in turn to obtain the standard difference value of the parameter information corresponding to each motion state;

[0018] The allowable fluctuation range of the parameter information standard difference value corresponding to each motion state is preset, and the parameter information data standard difference value that is not within the allowable fluctuation range is recorded as the parameter information standard difference value, and the duration corresponding to each parameter information standard difference value is obtained in turn, recorded as the abnormal duration, and marked as ,in is the motion state number, ;

[0019] is the number of each parameter, ;

[0020] The number of parameter information standard difference values ​​corresponding to each motion state is counted, and the number is divided by the duration of each motion state to obtain the frequency of occurrence of parameter information standard difference values ​​corresponding to each motion state, which is recorded as abnormal frequency and marked as ;

[0021] Extract the parameter information standard difference value corresponding to each motion state, and the corresponding maximum parameter information standard difference value is recorded as the extreme difference value and marked as ;

[0022] The abnormal duration , abnormal frequency , extreme difference Substituting into the formula: , get the motion index of each motion state ,in 、 、 They are the allowable abnormal duration, maximum allowable abnormal frequency, and maximum allowable difference extreme value of the corresponding parameters under each motion state. 、 、 They are the weight factors corresponding to the abnormal duration, abnormal frequency and extreme difference values ​​of the corresponding parameters in each motion state.

[0023] Preferably, the process of sequentially analyzing each parameter information when returning from each exercise state to a relaxed state, thereby obtaining a fatigue index, specifically includes the following parts:

[0024] The moment when the number of steps of the wearer detected by the wrist oximeter changes from the step frequency corresponding to each exercise state to the step frequency corresponding to the relaxation state is recorded as the starting time; and various parameter information of the wearer of the wrist oximeter is obtained at set time intervals from the starting time, and the obtained parameter information is analyzed;

[0025] The time it takes for the wearer to transition from each exercise state to a relaxed state is recorded as the actual recovery time and marked as ;

[0026] The acceleration values ​​recorded by the accelerometer of the wristband oximeter in the X, Y, and Z axis directions are obtained at set time intervals and marked as 、 、 The subsequent entry formula: , get the acceleration amplitude obtained at each time interval;

[0027] According to the time series, the adjacent acceleration amplitudes are subtracted from the next acceleration amplitude in the adjacent time intervals to obtain the adjacent acceleration amplitude difference; the relaxation amplitude threshold is preset, and the time when the adjacent acceleration amplitude difference is less than the relaxation amplitude threshold is marked as the relaxation recovery time, and the relaxation recovery time used to transition from each motion state to the relaxation state is obtained and marked as ;

[0028] Obtain the current age and gender of the elderly person, extract the age value ranges corresponding to different genders from a pre-built database, and set each age value range corresponding to different genders to correspond to a standard time used in a relaxation state and a standard relaxation recovery time;

[0029] Based on the specific gender of the elderly, the elderly's age is matched with the corresponding age range to determine the standard time used for the relaxation state and the standard relaxation recovery time;

[0030] The actual recovery time and relaxation recovery time Substituting into the formula: , get the fatigue index ,in The standard time taken to transition from each exercise state to a relaxed state, The standard relaxation recovery time used to transition from each exercise state to the relaxation state, is the weight factor corresponding to the actual recovery time of each motion state, is the weight factor corresponding to the actual relaxation recovery time of each motion state, is the preset matching index.

[0031] Preferably, after normalizing the motion index of each motion state and the matching index corresponding to each motion state, a base circle model is established with the motion index of each motion state as the radius, and a cone model is established with the matching index corresponding to each motion state as the height. The volume of the cone model corresponding to each motion state is calculated, and the volume of the cone model obtained is recorded as the evaluation index of each motion state in turn.

[0032] Preferably, the method for obtaining the matching index specifically includes the following parts:

[0033] The acceleration amplitude obtained by the wrist oximeter at each time interval is obtained at a preset time interval, a sleep acceleration amplitude threshold is preset, the acceleration amplitude obtained at each time interval is compared with the sleep acceleration amplitude threshold, and the time intervals corresponding to the acceleration amplitudes that are continuously less than the sleep acceleration amplitude threshold are accumulated in the time series to obtain a single quiet time.

[0034] A sleep duration threshold is preset, and a single quiet period greater than the sleep duration threshold is marked as a single sleep period. All single sleep periods are accumulated to obtain the total sleep period.

[0035] Obtain the pulse rate monitored during the time interval corresponding to each single sleep duration, preset a resting pulse rate range, and sequentially compare the pulse rate monitored during the time interval corresponding to each single sleep duration with the resting pulse rate range. Mark the time interval corresponding to the single sleep duration that is not within the resting pulse rate range as an abnormal time interval;

[0036] The duration corresponding to all abnormal time intervals is accumulated and marked as the awake time; the actual sleep time is obtained by subtracting the awake time from the total sleep time; a preset sleep time standard value is set, and the actual sleep time is divided by the sleep time standard value to obtain the sleep ratio;

[0037] Obtain the time interval corresponding to the actual sleep time, and obtain the acceleration values ​​monitored in the X, Y, and Z axis directions during the time interval, and preset the turning acceleration thresholds in the X, Y, and Z axis directions respectively; record the moment when the acceleration value in any two axes is greater than or equal to the corresponding turning acceleration threshold in the preset time period in the X, Y, and Z axis directions as the turning moment; accumulate the number of all turning moments and mark it as the number of turning times; preset the normal number of turning times, and divide the number of turning times by the normal number of turning times to obtain the turning ratio;

[0038] The sleeping ratio is used as the two right-angled sides of a right triangle, and the ends of the two right-angled sides are connected with a straight line to obtain a complete right triangle, and the right triangle is used as the base of a triangular pyramid; the turning over ratio is used as the height of the triangular pyramid, a triangular pyramid model is established, and the volume of the triangular pyramid is calculated and recorded as the fitting index.

[0039] Preferably, the obtained evaluation index is analyzed to perform corresponding early warning processing, which specifically includes the following parts:

[0040] The evaluation index threshold is preset. If the evaluation index is greater than the evaluation index threshold, the motion index, fatigue index, and coordination index are compared with their corresponding thresholds respectively:

[0041] If the motion index is greater than the threshold, the abnormal duration, abnormal frequency, and extreme difference value corresponding to the motion index will be marked as abnormal motion information, and the abnormal motion information will be sent to the smart terminal bound to the account of the wristband oximeter guardian;

[0042] If the fatigue index is greater than the threshold, the actual recovery time and relaxation recovery time corresponding to the fatigue index are marked as fatigue abnormality information, and the fatigue abnormality information is sent to the smart terminal bound to the account of the wristband oximeter guardian;

[0043] If the coordination index is greater than the threshold, the sleep ratio and turning ratio corresponding to the coordination index will be marked as coordination abnormality information, and the coordination abnormality information will be sent to the smart terminal of the guardian's account bound to the wristband oximeter.

[0044] Preferably, the analysis of the obtained evaluation index to perform corresponding early warning processing also includes the following parts:

[0045] The evaluation index is obtained at set time intervals and arranged in chronological order from left to right. If the adjacent evaluation indexes in the time series are all greater than the preset evaluation index threshold, then on the basis of the original warning, a vibration reminder is sent to the wrist-worn oximeter worn by the elderly and a communication connection is established with a medical institution that cooperates with the manufacturer of the wrist-worn oximeter. The elderly's evaluation index and the corresponding exercise index, fatigue index, and cooperation index are sent to the medical institution, requesting the medical institution to arrange medical staff to conduct a health check on the elderly at home, or to assist the elderly to go to the hospital for examination.

[0046] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0047] 1. The present invention obtains the number of exercise steps through a wrist-worn oximeter, and also monitors key physiological parameters such as blood oxygen saturation, pulse rate, and perfusion index. It also conducts in-depth analysis of these parameters under different exercise states to obtain exercise index, fatigue index, and cooperation index, etc., realizing multi-dimensional and comprehensive monitoring of the health status of the elderly, which can more accurately reflect the physical condition of the elderly and timely discover potential health problems.

[0048] 2. The present invention presets the evaluation index threshold and the thresholds of the exercise index, fatigue index, and coordination index. When the evaluation index exceeds the threshold, it will further compare and analyze the sub-indices, and send the abnormal information to the smart terminal bound to the guardian's account in a timely manner, so that the guardian can understand the health abnormalities of the elderly at the first time, realize layered early warning, and improve the accuracy and effectiveness of the early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0050] Figure 1 is a flow chart of the present invention; DETAILED DESCRIPTION

[0051] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and for many different purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0052] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless expressly defined as such herein.

[0053] See also Figure 1 As shown, the present invention provides a technical solution:

[0054] The elderly health status monitoring system based on wristband oximeter includes the following parts:

[0055] Status determination module: This module obtains the wearer's exercise steps through a wrist oximeter and analyzes the number of exercise steps to determine the exercise status. It specifically includes the following parts:

[0056] Among them, using a wrist oximeter to obtain the wearer's exercise step count is an existing technology. Specifically, when the wearer of the wrist oximeter walks, their arms swing and produce regular acceleration changes. After the sensor captures these change signals, it is processed by an algorithm and converted into corresponding step count data;

[0057] At preset time intervals, the wearer's step count is obtained using a wrist oximeter. The difference between two consecutive step counts in the time series is calculated. The difference is divided by the time interval, and the absolute value is taken to obtain the step frequency. Different step frequencies are preset to correspond to different exercise states, thereby determining the exercise state corresponding to the step frequency; the exercise state is divided into a relaxed state, a walking state, and a running state.

[0058] Motion Index Module: Based on the obtained motion state, obtains parameter information monitored by the wrist oximeter during each motion state; analyzes the parameter information monitored for each motion state to obtain the motion index corresponding to each motion state; the parameter information includes blood oxygen saturation, pulse rate, and perfusion index;

[0059] Wrist-worn oximeters typically use a photoelectric transmission measurement method, based on the principle that the amount of light absorbed by arterial blood changes with arterial pulsation, to detect blood oxygen saturation, pulse rate, and perfusion index. The specific process is as follows:

[0060] Blood oxygen saturation: A wrist-worn oximeter has two built-in light-emitting diodes (LEDs) with different wavelengths: one emits red light and the other emits near-infrared light. When the oximeter is turned on and worn correctly on the wrist, the two LEDs will alternately illuminate, allowing light to pass through the skin, tissues, and blood vessels. The oximeter's built-in microprocessor calculates blood oxygen saturation using a specific algorithm based on the intensity ratio of the red and near-infrared light received by the detector.

[0061] Pulse rate detection: The microprocessor in the oximeter analyzes and processes the intensity fluctuations of the light signal reflecting the arterial pulsation received by the detector, and calculates the number of arterial pulsations per unit time (usually per minute), which is the pulse rate.

[0062] Perfusion index detection: The microprocessor analyzes and calculates the pulsation component and DC component of the optical signal received by the detector to obtain the perfusion index;

[0063] The parameter information monitored for each motion state is analyzed to obtain the motion index corresponding to each motion state, which specifically includes the following parts:

[0064] Obtain parameter information corresponding to a number of wristband oximeter wearers in a relaxed state, and sequentially calculate the average of the blood oxygen saturation, pulse rate, and perfusion index in the parameter information to obtain the average blood oxygen saturation, pulse rate, and perfusion index;

[0065] The mean values ​​of the parameter information measured when the exercise state is in a relaxed state are used as the standard values ​​corresponding to blood oxygen saturation, pulse rate, and perfusion index respectively;

[0066] Obtain the parameter information corresponding to each motion state, and perform difference calculations on the parameter information with the corresponding standard value in turn to obtain the standard difference value of the parameter information corresponding to each motion state;

[0067] The allowable fluctuation range of the parameter information standard difference value corresponding to each motion state is preset, and the parameter information data standard difference value that is not within the allowable fluctuation range is recorded as the parameter information standard difference value, and the duration corresponding to each parameter information standard difference value is obtained in turn, recorded as the abnormal duration, and marked as ,in is the motion state number, ;

[0068] is the number of each parameter, ;

[0069] The number of parameter information standard difference values ​​corresponding to each motion state is counted, and the number is divided by the duration of each motion state to obtain the frequency of occurrence of parameter information standard difference values ​​corresponding to each motion state, which is recorded as abnormal frequency and marked as ;

[0070] Extract the parameter information standard difference value corresponding to each motion state, and the corresponding maximum parameter information standard difference value is recorded as the extreme difference value and marked as ;

[0071] The abnormal duration , abnormal frequency , extreme difference Substituting into the formula: , get the motion index of each motion state ,in 、 、 They are the allowable abnormal duration, maximum allowable abnormal frequency, and maximum allowable difference extreme value of the corresponding parameters under each motion state. 、 、 are the weight factors corresponding to the abnormal duration, abnormal frequency, and extreme difference values ​​of the corresponding parameters under each motion state;

[0072] Fatigue index module: Analyzes the process of each parameter information returning from each exercise state to the relaxation state in turn to obtain the fatigue index;

[0073] It specifically includes the following parts:

[0074] The moment when the number of steps of the wearer detected by the wrist oximeter changes from the step frequency corresponding to each exercise state to the step frequency corresponding to the relaxation state is recorded as the starting time; and various parameter information of the wearer of the wrist oximeter is obtained at set time intervals from the starting time, and the obtained parameter information is analyzed;

[0075] The time it takes for the wearer to transition from each exercise state to a relaxed state is recorded as the actual recovery time and marked as ;

[0076] The acceleration values ​​recorded by the accelerometer of the wristband oximeter in the X, Y, and Z axis directions are obtained at set time intervals and marked as 、 、 The subsequent entry formula: , get the acceleration amplitude obtained at each time interval;

[0077] According to the time series, the adjacent acceleration amplitudes are subtracted from the next acceleration amplitude in the adjacent time intervals to obtain the adjacent acceleration amplitude difference; the relaxation amplitude threshold is preset, and the time when the adjacent acceleration amplitude difference is less than the relaxation amplitude threshold is marked as the relaxation recovery time, and the relaxation recovery time used to transition from each motion state to the relaxation state is obtained and marked as ;

[0078] Obtain the current age and gender of the elderly person, extract the age value ranges corresponding to different genders from a pre-built database, and set each age value range corresponding to different genders to correspond to a standard time used in a relaxation state and a standard relaxation recovery time;

[0079] Based on the specific gender of the elderly, the elderly's age is matched with the corresponding age range to determine the standard time used for the relaxation state and the standard relaxation recovery time;

[0080] The actual recovery time and relaxation recovery time Substituting into the formula: , get the fatigue index ,in The standard time taken to transition from each exercise state to a relaxed state, The standard relaxation recovery time used to transition from each exercise state to the relaxation state, is the weight factor corresponding to the actual recovery time of each motion state, is the weight factor corresponding to the actual relaxation recovery time of each motion state, is the preset matching index;

[0081] The actual recovery time Greater than 0. Its value range usually depends on the intensity of the elderly's exercise state and the recovery ability of their body functions. Generally speaking, the actual recovery time under more intense exercise will be relatively long, ranging from several minutes to several hours. The specific value will vary with the accumulation of monitoring data and the differences between different individuals.

[0082] Relaxation recovery time It is also greater than 0. Its length is related to the degree of muscle relaxation and overall coordination recovery of the elderly after exercise. The value range is usually between several minutes and dozens of minutes. Different sports and exercise duration will have an impact on it.

[0083] The preset coordination index is a comprehensive indicator that reflects the correlation between the elderly's sleep quality and physical recovery status. When the coordination index is high, it means that the elderly have good sleep quality and their body recovers better during sleep.

[0084] When calculating the fatigue index, the coordination index can appropriately reduce the influence of actual recovery time and relaxation recovery time on the fatigue index, that is, it plays a certain regulatory role, so that the fatigue index can more truly reflect the physical fatigue state;

[0085] For example, if the coordination index is 1.2 (assuming it is measured with a certain benchmark value of 1), it means that the sleep quality is good, and when calculating the fatigue index, the fatigue index can be appropriately reduced. and The actual effect of the fatigue index is to prevent the calculated fatigue index from being exaggerated due to a slightly longer recovery time. On the contrary, if the index is low, such as 0.8, it means that the sleep quality is poor and the body recovery may be affected. At this time, it can be appropriately increased. and The fatigue index can better reflect the fatigue state of the body;

[0086] The specific method of obtaining the cooperation index includes the following parts:

[0087] The acceleration amplitude obtained by the wrist oximeter at each time interval is obtained at a preset time interval, a sleep acceleration amplitude threshold is preset, the acceleration amplitude obtained at each time interval is compared with the sleep acceleration amplitude threshold, and the time intervals corresponding to the acceleration amplitudes that are continuously less than the sleep acceleration amplitude threshold are accumulated in the time series to obtain a single quiet time.

[0088] A sleep duration threshold is preset, and a single quiet period greater than the sleep duration threshold is marked as a single sleep period. All single sleep periods are accumulated to obtain the total sleep period.

[0089] Obtain the pulse rate monitored during the time interval corresponding to each single sleep duration, preset a resting pulse rate range, and sequentially compare the pulse rate monitored during the time interval corresponding to each single sleep duration with the resting pulse rate range. Mark the time interval corresponding to the single sleep duration that is not within the resting pulse rate range as an abnormal time interval;

[0090] The duration corresponding to all abnormal time intervals is accumulated and marked as the awake time; the actual sleep time is obtained by subtracting the awake time from the total sleep time; a preset sleep time standard value is set, and the actual sleep time is divided by the sleep time standard value to obtain the sleep ratio;

[0091] Obtain the time interval corresponding to the actual sleep time, and obtain the acceleration values ​​monitored in the X, Y, and Z axis directions during the time interval, and preset the turning acceleration thresholds in the X, Y, and Z axis directions respectively; record the moment when the acceleration value in any two axes is greater than or equal to the corresponding turning acceleration threshold in the preset time period in the X, Y, and Z axis directions as the turning moment; accumulate the number of all turning moments and mark it as the number of turning times; preset the normal number of turning times, and divide the number of turning times by the normal number of turning times to obtain the turning ratio;

[0092] The sleep ratio is used as the two right-angled sides of a right triangle, and the ends of the two right-angled sides are connected with a straight line to form a complete right triangle, which is used as the base of a triangular pyramid. The turning ratio is used as the height of the triangular pyramid, and a triangular pyramid model is established. The volume of the triangular pyramid is calculated and recorded as the fit index.

[0093] Analysis and processing module: Comprehensively analyze the motion index and fatigue index to obtain the evaluation index, and analyze the obtained evaluation index to perform corresponding early warning processing, specifically including:

[0094] After normalizing the motion index of each motion state and the matching index corresponding to each motion state, a base circle model is established with the motion index of each motion state as the radius, and a cone model is established with the matching index corresponding to each motion state as the height. The volume of the cone model corresponding to each motion state is calculated, and the volume of the cone model obtained is recorded as the evaluation index of each motion state in turn;

[0095] The obtained evaluation index is analyzed to carry out corresponding early warning processing, which specifically includes the following parts:

[0096] The evaluation index threshold is preset. If the evaluation index is greater than the evaluation index threshold, the motion index, fatigue index, and coordination index are compared with their corresponding thresholds respectively:

[0097] If the motion index is greater than the threshold, the abnormal duration, abnormal frequency, and extreme difference value corresponding to the motion index will be marked as abnormal motion information, and the abnormal motion information will be sent to the smart terminal bound to the account of the wristband oximeter guardian;

[0098] If the fatigue index is greater than the threshold, the actual recovery time and relaxation recovery time corresponding to the fatigue index are marked as fatigue abnormality information, and the fatigue abnormality information is sent to the smart terminal bound to the account of the wristband oximeter guardian;

[0099] If the coordination index is greater than the threshold, the sleep ratio and turning ratio corresponding to the coordination index will be marked as coordination abnormality information, and the coordination abnormality information will be sent to the smart terminal bound to the account of the guardian of the wristband oximeter;

[0100] Also includes the following sections:

[0101] The evaluation index is obtained at set time intervals and arranged in chronological order from left to right. If the adjacent evaluation indexes in the time series are all greater than the preset evaluation index threshold, then on the basis of the original warning, a vibration reminder is sent to the wrist-worn oximeter worn by the elderly and a communication connection is established with a medical institution that cooperates with the manufacturer of the wrist-worn oximeter. The elderly's evaluation index and the corresponding exercise index, fatigue index, and cooperation index are sent to the medical institution, requesting the medical institution to arrange medical staff to conduct a health check on the elderly at home, or to assist the elderly to go to the hospital for examination.

[0102] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factors and specific coefficient values ​​in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0103] The above description of the embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The elderly health status monitoring system based on wristband oximeter is characterized by: Includes the following sections: Status determination module: obtains the wearer's exercise steps through a wrist-worn oximeter and analyzes the exercise steps to obtain the exercise status; Motion Index Module: Based on the obtained motion state, obtains parameter information monitored by the wrist oximeter during each motion state; analyzes the parameter information monitored for each motion state to obtain the motion index corresponding to each motion state; the parameter information includes blood oxygen saturation, pulse rate, and perfusion index; Fatigue index module: Analyzes the process of each parameter information returning from each exercise state to the relaxation state in turn to obtain the fatigue index; The fatigue index is obtained by analyzing the process of each parameter information returning from each exercise state to the relaxation state, which specifically includes the following parts: The moment when the number of steps of the wearer detected by the wrist oximeter changes from the step frequency corresponding to each exercise state to the step frequency corresponding to the relaxation state is recorded as the starting time; and various parameter information of the wearer of the wrist oximeter is obtained at set time intervals from the starting time, and the obtained parameter information is analyzed; The time it takes for the wearer to transition from each exercise state to a relaxed state is recorded as the actual recovery time and marked as ; Get the data recorded by the accelerometer of the wrist oximeter at set time intervals. 、 、 The acceleration values ​​in the axis direction are marked as 、 、 The subsequent entry formula: , get the acceleration amplitude obtained at each time interval; According to the time series, the adjacent acceleration amplitudes are subtracted from the next acceleration amplitude in the adjacent time intervals to obtain the adjacent acceleration amplitude difference; the relaxation amplitude threshold is preset, and the time when the adjacent acceleration amplitude difference is less than the relaxation amplitude threshold is marked as the relaxation recovery time, and the relaxation recovery time used to transition from each motion state to the relaxation state is obtained and marked as ; Obtain the current age and gender of the elderly person, extract the age value ranges corresponding to different genders from a pre-built database, and set each age value range corresponding to different genders to correspond to a standard time used in a relaxation state and a standard relaxation recovery time; Based on the specific gender of the elderly, the elderly's age is matched with the corresponding age range to determine the standard time used for the relaxation state and the standard relaxation recovery time; The actual recovery time and relaxation recovery time Substituting into the formula: , get the fatigue index ,in The standard time taken to transition from each exercise state to a relaxed state, The standard relaxation recovery time used to transition from each exercise state to the relaxation state, is the weight factor corresponding to the actual recovery time of each motion state, is the weight factor corresponding to the actual relaxation recovery time of each motion state, is the preset matching index; Analysis and processing module: conducts a comprehensive analysis of the motion index and fatigue index to obtain an evaluation index, and analyzes the obtained evaluation index to perform corresponding early warning processing.

2. The elderly health status monitoring system based on a wristband oximeter according to claim 1 is characterized in that: The method of obtaining the wearer's exercise steps through a wristband oximeter and analyzing the exercise steps to obtain the exercise status specifically includes the following parts: At preset time intervals, the wearer's exercise steps are obtained through a wrist oximeter, and the difference between two adjacent exercise steps obtained in the time series is calculated. The difference calculation result is divided by the time interval, and the absolute value is taken to obtain the step frequency; different step frequencies are preset to correspond to different exercise states, so as to determine the exercise state corresponding to the step frequency; the exercise state is divided into relaxation state, walking state, and running state.

3. The elderly health status monitoring system based on a wristband oximeter according to claim 2 is characterized in that: The analysis of the parameter information monitored for each motion state specifically includes the following parts: Obtain parameter information corresponding to a number of wristband oximeter wearers in a relaxed state, and sequentially calculate the average of the blood oxygen saturation, pulse rate, and perfusion index in the parameter information to obtain the average blood oxygen saturation, pulse rate, and perfusion index; The mean values ​​of the parameter information measured when the exercise state is in a relaxed state are used as the standard values ​​corresponding to blood oxygen saturation, pulse rate, and perfusion index respectively; Obtain the parameter information corresponding to each motion state, and perform difference calculations on the parameter information with the corresponding standard value in turn to obtain the standard difference value of the parameter information corresponding to each motion state; The allowable fluctuation range of the parameter information standard difference value corresponding to each motion state is preset, and the parameter information data standard difference value that is not within the allowable fluctuation range is recorded as the parameter information standard difference value, and the duration corresponding to each parameter information standard difference value is obtained in turn, recorded as the abnormal duration, and marked as ,in is the motion state number, , is the number of each parameter, ; The number of parameter information standard difference values ​​corresponding to each motion state is counted, and the number is divided by the duration of each motion state to obtain the frequency of occurrence of parameter information standard difference values ​​corresponding to each motion state, which is recorded as abnormal frequency and marked as ; Extract the parameter information standard difference value corresponding to each motion state, and the corresponding maximum parameter information standard difference value is recorded as the extreme difference value and marked as .

4. The elderly health status monitoring system based on a wristband oximeter according to claim 3 is characterized in that: The step of obtaining the motion index corresponding to each motion state specifically includes the following steps: The abnormal duration , abnormal frequency , extreme difference Substituting into the formula: , get the motion index of each motion state ,in 、 、 They are respectively the abnormal duration, maximum abnormal frequency, and maximum difference extreme value allowed for the corresponding parameters under each motion state. 、 、 They are the weight factors corresponding to the abnormal duration, abnormal frequency and extreme difference values ​​of the corresponding parameters in each motion state.

5. The elderly health status monitoring system based on a wristband oximeter according to claim 4 is characterized in that: After normalizing the motion index of each motion state and the matching index corresponding to each motion state, a base circle model is established with the motion index of each motion state as the radius, and a cone model is established with the matching index corresponding to each motion state as the height. The volume of the cone model corresponding to each motion state is calculated, and the volume of the cone model obtained is recorded as the evaluation index of each motion state in turn.

6. The elderly health status monitoring system based on a wristband oximeter according to claim 5 is characterized in that: The method for obtaining the matching index specifically includes the following parts: The acceleration amplitude obtained by the wrist oximeter at each time interval is obtained at a preset time interval, a sleep acceleration amplitude threshold is preset, the acceleration amplitude obtained at each time interval is compared with the sleep acceleration amplitude threshold, and the time intervals corresponding to the acceleration amplitudes that are continuously less than the sleep acceleration amplitude threshold are accumulated in the time series to obtain a single quiet time. A sleep duration threshold is preset, and a single quiet period greater than the sleep duration threshold is marked as a single sleep period. All single sleep periods are accumulated to obtain the total sleep period. Obtain the pulse rate monitored during the time interval corresponding to each single sleep duration, preset a resting pulse rate range, and sequentially compare the pulse rate monitored during the time interval corresponding to each single sleep duration with the resting pulse rate range. Mark the time interval corresponding to the single sleep duration that is not within the resting pulse rate range as an abnormal time interval; The duration corresponding to all abnormal time intervals is accumulated and marked as the awake time; the actual sleep time is obtained by subtracting the awake time from the total sleep time; Preset the standard value of sleep duration, and divide the actual sleep duration by the standard value to get the sleep ratio; Get the time interval corresponding to the actual sleep time, and get the monitored data in the time interval 、 、 The acceleration values ​​in the axis direction are preset in 、 、 The turning acceleration threshold in the axis direction will be 、 、 In the preset time period in the axis direction, any moment when the acceleration value on any two axes is greater than or equal to the corresponding turning acceleration threshold is recorded as the turning moment; the number of all turning moments is accumulated and marked as the turning number; The normal number of turning over is preset, and the turning over ratio is obtained by dividing the number of turning over by the normal number of turning over.

7. The elderly health status monitoring system based on a wristband oximeter according to claim 6, characterized in that: The sleeping ratio is used as the two right-angled sides of a right triangle, and the ends of the two right-angled sides are connected with a straight line to obtain a complete right triangle, and the right triangle is used as the base of a triangular pyramid; the turning over ratio is used as the height of the triangular pyramid, a triangular pyramid model is established, and the volume of the triangular pyramid is calculated and recorded as the fitting index.

8. The elderly health status monitoring system based on a wristband oximeter according to claim 7 is characterized in that: The obtained evaluation index is analyzed to perform corresponding early warning processing, which specifically includes the following parts: The evaluation index threshold is preset. If the evaluation index is greater than the evaluation index threshold, the motion index, fatigue index, and coordination index are compared with their corresponding thresholds respectively: If the motion index is greater than the threshold, the abnormal duration, abnormal frequency, and extreme difference value corresponding to the motion index will be marked as abnormal motion information, and the abnormal motion information will be sent to the smart terminal bound to the account of the wristband oximeter guardian; If the fatigue index is greater than the threshold, the actual recovery time and relaxation recovery time corresponding to the fatigue index are marked as fatigue abnormality information, and the fatigue abnormality information is sent to the smart terminal bound to the account of the wristband oximeter guardian; If the coordination index is greater than the threshold, the sleep ratio and turning ratio corresponding to the coordination index will be marked as coordination abnormality information, and the coordination abnormality information will be sent to the smart terminal of the guardian's account bound to the wristband oximeter.

9. The elderly health status monitoring system based on a wristband oximeter according to claim 8, characterized in that: The analysis of the obtained evaluation index to perform corresponding early warning processing also includes the following parts: The evaluation index is obtained at set time intervals and arranged in chronological order from left to right. If the adjacent evaluation indexes in the time series are all greater than the preset evaluation index threshold, then on the basis of the original warning, a vibration reminder is sent to the wrist-worn oximeter worn by the elderly and a communication connection is established with a medical institution that cooperates with the manufacturer of the wrist-worn oximeter. The elderly's evaluation index and the corresponding exercise index, fatigue index, and cooperation index are sent to the medical institution, requesting the medical institution to arrange medical staff to conduct a health check on the elderly at home, or to assist the elderly to go to the hospital for examination.

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