Wearable intelligent insole with health consultation function

Abstract

The invention discloses a wearable intelligent insole with the health consultation function. The wearable intelligent insole with the health consultation function comprises an insole base layer, flexible pressure sensors, a control circuit, a signal transmission circuit and a power supply device, wherein the flexible pressure sensors, the control circuit, the signal transmission circuit and the power supply device are arranged in the insole base layer. The flexible pressure sensors are put on corresponding positions of a tiptoe, a first metatarsophalangeal joint, a fourth metatarsophalangeal joint and a heel respectively, the signal output ends of the flexible pressure sensors are connected with the input end of the control circuit, the output end of the control circuit is connected with the input end of the signal transmission circuit, and the power supply device is connected with the control circuit for supplying power to the flexible pressure sensors. A main chip of the control circuit is integrated with the multi-ary-and-multi-scale-symbolic-entropy data analysis method, and the movement condition, the gait characteristics and the healthy condition of the human body are analyzed according to multiple pressure signals of the foot sole. According to the wearable intelligent insole with the health consultation function, signals of the abnormal gait and the healthy normal gait can be analyzed, processed and identified, and limitation of small data points is met; meanwhile, the coupling relationship between pressure signals of different parts of the foot sole is achieved, the accuracy and the efficiency of gait identification are improved, and the human health is conveniently and remotely monitored.

Description

technical field [0001] The invention relates to the technical field of health diagnosis of human motion signals, in particular to a wearable smart insole with health diagnosis function. Background technique [0002] The signal of human motion is a kind of nonlinear behavior based on time and space feedback, which is mainly controlled by the nerve and motor system, and belongs to a specific physiological signal. People's age changes, physical health and mental state changes, etc., will have varying degrees of impact on gait. It can be considered that the gait signal reflects the information of the human body's motor function, health status and pathological characteristics from one aspect. Gait disease will greatly affect people's quality of life, and it will increase significantly with age. It is pointed out in the literature that among the elderly aged 60-69, gait disorders account for about 10%, and those over 80 years old have gait disorders. Patients with chronic diseas...

AI Technical Summary

Problems solved by technology

Moreover, patients with gait disease have slow gait speed and walking impairment, and the amount of collected data is small, which will affect the accuracy of identification

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