CN-121999975-A - Household old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals

CN121999975ACN 121999975 ACN121999975 ACN 121999975ACN-121999975-A

Abstract

The invention relates to the technical field of rehabilitation monitoring, in particular to a household old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals. The system comprises a data acquisition module, a monitoring weight analysis module, a monitoring necessity analysis module, a rehabilitation condition monitoring module and a rehabilitation condition monitoring module, wherein the data acquisition module acquires pressure and electromyographic signal time sequence data of each monitoring point of the intelligent mattress, the pressure core point is determined according to the pressure value difference at each moment and reflects the main stress position, the monitoring weight analysis module analyzes the pressure value change to determine a human body state change index, further determines a pressure stabilizing node, analyzes the relation between the monitoring point and the pressure core point and the pressure change trend under the pressure stabilizing node, determines the monitoring weight, enables data acquisition and analysis to be more targeted, the monitoring necessity analysis module synthesizes multiple factors to obtain the monitoring necessary degree value of each monitoring point at each moment and reflects the importance degree of the monitoring to rehabilitation, and the rehabilitation condition monitoring module accurately intercepts electromyographic signal fragments according to the process, truly reflects the muscle activity when the old people effectively move, and enables rehabilitation evaluation to be more accurate and reliable.

Inventors

HE JIA
CHEN LIN
WANG LIN
ZHAO JIANQIN

Assignees

中国人民解放军联勤保障部队第九〇三医院

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The utility model provides a house old man's exercise ability rehabilitation monitoring system based on surface electromyographic signals, its characterized in that, this system includes: the system comprises a data acquisition module, a pressure core point acquisition module and a control module, wherein the data acquisition module is used for acquiring pressure time sequence data and electromyographic signal time sequence data at each monitoring point on the intelligent mattress; The monitoring weight analysis module is used for analyzing the pressure value change condition of all monitoring points, determining the human body state change index at each moment and determining pressure stabilizing nodes on time sequence; analyzing the position relation between the monitoring points on the intelligent mattress under each pressure stabilization node and the pressure core points and the pressure numerical value change trend between the monitoring points on the intelligent mattress, and determining the monitoring weight of each monitoring point under each pressure stabilization node; the monitoring necessity analysis module is used for analyzing the position change condition of the pressure core point and the pressure change condition of each monitoring point at different moments and combining the position change condition with the monitoring weight of the monitoring point under the pressure stabilizing node to obtain the monitoring necessity degree value of each monitoring point at each moment; the rehabilitation condition monitoring module is used for intercepting electromyographic signal fragments in corresponding electromyographic signal time sequence data according to the monitoring necessary degree value of each monitoring point at each moment and monitoring the exercise capacity rehabilitation condition of the old.
2. The system for rehabilitation monitoring of exercise capacity of a household old person based on surface electromyographic signals according to claim 1, wherein the method for acquiring the human body state change index comprises the following steps: In time sequence, selecting one moment as a moment to be detected, and calculating the absolute value of the difference between the pressure value at the moment to be detected and the pressure value at the adjacent previous moment under the condition of any monitoring point as a pressure change factor at the moment to be detected; taking the maximum value between the pressure value at the moment to be measured and the pressure value at the adjacent previous moment as the pressure change weight at the moment to be measured; Taking the product of the pressure change factor and the pressure change weight corresponding to the moment to be detected at the monitoring point as the human body state change factor of the monitoring point at the moment to be detected; And taking the value obtained by normalizing the average value of the human body state change factors of all monitoring points at the moment to be measured as the human body state change index at all the moments to be measured.
3. The home-based geriatric athletic performance rehabilitation monitoring system based on surface electromyographic signals of claim 1, wherein the method for acquiring the monitoring weight comprises: under each pressure stabilizing node, selecting one monitoring point on the intelligent mattress as a to-be-measured point; Under each pressure stabilizing node, analyzing the pressure value change condition on the path between the to-be-measured point and the pressure core point, and determining the contact stability index of the to-be-measured point; Under each pressure stabilizing node, analyzing the position relation between the to-be-measured point and the pressure core point and the pressure change characteristic in the local range of the to-be-measured point to obtain the critical decomposition index of the to-be-measured point; And under each pressure stabilization node, taking the normalized value of the product of the contact stabilization index and the critical decomposition index of the to-be-measured point as the monitoring weight of the to-be-measured point under each pressure stabilization node.
4. The system for rehabilitation monitoring of exercise capacity of a household elderly person based on surface electromyographic signals according to claim 3, wherein the method for acquiring the contact stability index comprises the following steps: Taking a pressure core point as a starting point and taking a to-be-measured point as an end point as a straight line, and obtaining a pressure change path corresponding to the to-be-measured point under each pressure stabilization node and a first-order differential sequence of pressure values of all monitoring points on the pressure change path; and taking the standard deviation of all data values in the first-order differential sequence as a pressure change fluctuation factor, multiplying the pressure change fluctuation factor by the pressure value of the to-be-measured point, and carrying out negative correlation mapping and normalization on the obtained product to obtain a value serving as a contact stability index of the to-be-measured point under each pressure stability node.
5. The system for rehabilitation monitoring of exercise capacity of a household old person based on surface electromyographic signals according to claim 3, wherein the method for acquiring the critical decomposition index comprises the following steps: Carrying out negative correlation mapping and normalization on the Euclidean distance between the to-be-measured point and the pressure core point under each pressure stabilizing node, and taking the value as the core distance proximity of the to-be-measured point; Under each pressure stabilization node, a preset neighborhood is constructed by taking a to-be-measured point as a center, and the variance of the pressure values of all monitoring points is subjected to negative correlation mapping in the preset neighborhood corresponding to the to-be-measured point to serve as the local stability of the to-be-measured point; And taking the normalized value of the product of the core distance proximity and the local stability of the to-be-measured point as a critical decomposition index of the to-be-measured point under each pressure stabilizing node.
6. The system for rehabilitation monitoring of the exercise capacity of the home aged based on the surface electromyographic signals according to claim 1, wherein the method for acquiring the monitoring necessity level value comprises the following steps: in time sequence, for any moment, at each monitoring point, taking the monitoring weight of the pressure stabilizing node closest to the time sequence of the moment as the motion analysis weight of each monitoring point at the moment; Taking the absolute value of the difference between the pressure value of each monitoring point at the moment and the pressure value of the adjacent previous moment as the pressure change index of each monitoring point at the moment; under the moment, taking the product of the motion analysis weight of each monitoring point and the pressure change index as a motion obvious factor of each monitoring point under the moment; Taking Euclidean distance between the pressure core point at the moment and the pressure core point at the adjacent previous moment as a position migration factor; And normalizing the sum value of the position migration factor at the moment and the motion obvious factor of each monitoring point at the moment to obtain the monitoring necessity degree value of each monitoring point at the moment.
7. The home-use senior citizen exercise capacity rehabilitation monitoring system based on surface electromyographic signals as defined in claim 1, wherein the electromyographic signal segment acquisition method comprises the following steps: In time sequence, if the monitoring necessity degree value of a certain monitoring point at a certain moment is larger than a preset monitoring necessity threshold value, taking the moment as a target moment and taking the monitoring point as a target point; In the myoelectric signal time sequence data of the target point, the myoelectric signal data in a time window with a preset size is extracted as a myoelectric signal segment by taking the target moment as the center in time sequence.
8. The system for monitoring the rehabilitation of the athletic ability of the elderly at home based on the surface electromyographic signals according to claim 7, wherein the monitoring of the rehabilitation of the athletic ability of the elderly comprises: expanding the monitoring necessary degree value of the target point at the target time into a vector equal to the corresponding electromyographic signal segment, and then splicing the vector with the corresponding electromyographic signal segment to obtain a feature vector; And taking the characteristic vector corresponding to each electromyographic signal segment as the input of a pre-trained neural network, and taking the corresponding monitoring necessary degree value as the characteristic weight, so as to output a rehabilitation evaluation result.
9. The home-based geriatric athletic performance rehabilitation monitoring system based on surface electromyographic signals of claim 1, wherein the method for obtaining the pressure stabilization node comprises: in time sequence, the moment when the human body fluctuation index is smaller than a preset fluctuation threshold value is taken as a pressure stabilizing node.
10. The system for rehabilitation monitoring of the exercise capacity of the home aged based on the surface electromyographic signals according to claim 1, wherein the method for acquiring the pressure core point comprises the following steps of And taking the monitoring position corresponding to the maximum pressure value as a pressure core point at each moment in all monitoring points of the intelligent mattress at each moment.

Description

Household old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals Technical Field The invention relates to the technical field of rehabilitation monitoring, in particular to a household old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals. Background With the continuous acceleration of the aging process of the population, the movement ability of the aged is reduced, the muscle function is reduced and the rehabilitation demands are becoming more common in the aged population, and the movement ability and rehabilitation state of the aged are required to be continuously focused in the home environment. The surface electromyographic signal is used as a non-invasive bioelectric signal capable of reflecting the activity state and muscle activation characteristics of skeletal muscles, is widely applied to exercise function evaluation and rehabilitation research, is introduced into exercise capacity and rehabilitation monitoring scenes of the aged at home, is beneficial to providing more objective and continuous physiological information support for the rehabilitation process at home, and accords with the development trend of health management and intelligent rehabilitation technology at home. When the old people lie on the mattress and active muscle contraction occurs, skeletal muscles generate action potentials under the control of a nervous system, and a plurality of myofiber action potentials are overlapped in time and space to form a surface myoelectric signal. The prior exercise capacity and rehabilitation monitoring technology of the aged mainly relies on detection of the acquired electromyographic signals, but in an actual household scene, the exercise does not correspond to the actual muscle active exercise behaviors due to rebound of a mattress, breathing fluctuation and tiny posture adjustment in the lying process of the aged, so that the electromyographic signals in all time periods can not be used as the basis for subsequent rehabilitation evaluation, and if the interference behaviors are not distinguished, the reliability of the rehabilitation evaluation result can be greatly reduced. Disclosure of Invention In order to solve the technical problem that in an actual household scene, the reliability of a rehabilitation evaluation result can be greatly reduced if the interference behaviors are not distinguished, the invention aims to provide a household old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals, which does not correspond to real muscle active exercise behaviors, so that electromyographic signals in all time periods can not be used as the basis for subsequent rehabilitation evaluation, and the adopted technical scheme is as follows: the invention provides a home old man exercise capacity rehabilitation monitoring system based on surface electromyographic signals, which comprises: the system comprises a data acquisition module, a pressure core point acquisition module and a control module, wherein the data acquisition module is used for acquiring pressure time sequence data and electromyographic signal time sequence data at each monitoring point on the intelligent mattress; The monitoring weight analysis module is used for analyzing the pressure value change condition of all monitoring points, determining the human body state change index at each moment and determining pressure stabilizing nodes on time sequence; analyzing the position relation between the monitoring points on the intelligent mattress under each pressure stabilization node and the pressure core points and the pressure numerical value change trend between the monitoring points on the intelligent mattress, and determining the monitoring weight of each monitoring point under each pressure stabilization node; the monitoring necessity analysis module is used for analyzing the position change condition of the pressure core point and the pressure change condition of each monitoring point at different moments and combining the position change condition with the monitoring weight of the monitoring point under the pressure stabilizing node to obtain the monitoring necessity degree value of each monitoring point at each moment; the rehabilitation condition monitoring module is used for intercepting electromyographic signal fragments in corresponding electromyographic signal time sequence data according to the monitoring necessary degree value of each monitoring point at each moment and monitoring the exercise capacity rehabilitation condition of the old. Further, the method for acquiring the human body state change index comprises the following steps: In time sequence, selecting one moment as a moment to be detected, and calculating the absolute value of the difference between the pressure value at the moment to be detected and the pressure value at the adjacent previous moment under the condition