A wireless wearable gait signal monitoring system with analysis function

Abstract

A wireless wearable gait signal monitoring system with analysis function, including an insole substrate, four flexible sensors and a signal processing system are fixed on the surface of the insole substrate, wherein the four flexible sensors are located on the first toe of the sole The corresponding position of the bone, the second metatarsal head, the heel and the arch of the foot; the signal output of the flexible sensor is connected to the signal input of the signal processing system, and the signal output of the signal processing system is connected to the upper computer; the signal processing system includes a core processing module, a wireless communication module, Power supply module, the power supply module supplies power to the core processing module and wireless communication module, the output signal of the flexible sensor is connected to the input terminal of the core processing module, the output terminal of the core processing module is wirelessly connected to the upper computer through the wireless communication module, and the upper computer performs real-time visual display and saves The present invention is easy to wear and has strong comfort, realizes long-term gait signal monitoring in daily life scenes, and realizes quantification of wearer's gait parameters and evaluation of walking function.

Description

technical field [0001] The invention relates to the technical field of human body gait signal health monitoring and intelligent diagnosis, in particular to a wireless wearable gait signal monitoring system with analysis function. Background technique [0002] Walking is an action completed under the comprehensive action of all parts of the body. A complete gait cycle is usually divided according to the time interval between two consecutive ground contact events of a certain side of the heel, and the gait signal usually refers to the The signals of each joint angle and velocity, plantar pressure, plantar deformation rate, ground clearance, etc. follow the gait to change periodically. In addition, in order to better characterize the changing law of gait signals in a cycle, the researchers divided the gait cycle into stance phase and swing phase according to whether a single foot is in contact with the ground, and the phase information of both feet can be further obtained. Fea...

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Problems solved by technology

[0003] At present, common gait monitoring technologies such as electromyography, force measuring pads, and visual recognition have disadvantages such as cumbersome use, high cost, and limited range of motion of the monitored person. Therefore, wearable devices with low cost, small size, and easy use The application of equipment in the field of gait monitoring is gradually widespread

[0004] The patent with the publication number CN106037753B introduces a wearable exoskeleton system based on multi-sensor fusion, which evaluates the walking stability and health status of the exoskeleton wearer through the angle changes of each joint and the plantar pressure, but there is a problem of difficulty in wearing it , and the device itself will have a certain impact on people's walking movement, so it is not suitable for detecting early gait abnormalities

The patent with the publication number CN106725507B introduces a wearable human body tripping detection system, which realizes the extraction of the height characteristics of the human body's feet and the detection of falls based on the distance sensor, but the system realizes the calculation of the foot posture based on the geometric model. The assembly accuracy is high, and the acquired features are limited, so it is impossible to effectively divide the gait phase

The patent with the publication number CN205318387U introduces a multi-node Parkinson's disease symptom quantitative evaluation device, which uses motion sensors and myoelectric sensors to quantitatively evaluate motor functions. Explicitly articulates how to quantify gait based on acquired signals

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