Diabetic foot risk early warning device based on time-space domain characteristics of plantar pressure information

Abstract

The invention is a gait analysis technology of a wearable device, and relates to a diabetic foot risk early warning device based on time-space domain characteristics of plantar pressure information. The device includes a wearable shoe system, a data processing unit, a kinematics feature extraction unit and a prediction model; the wearable shoe system includes a data acquisition unit for collectingdynamic plantar pressure data of a subject; the data processing unit acquires plantar pressure data within a continuous period of time and divides the data into plantar pressure signals in each gaitcycle; the kinematics feature extraction unit performs kinematic feature extraction from the divided plantar pressure signals to obtain a data label pair set; the data label pair set is divided into atraining set and a test set to construct and train a prediction model; and the characteristic parameters of the plantar pressure distribution of the subject is input into the trained prediction modelto obtain the result of whether the subject has an abnormal gait. The device makes full use of the pressure information in multiple characteristic areas of planta pedis, and warns the subject whetherthe gait is abnormal in time.

Description

technical field [0001] The invention belongs to the field of pattern recognition, is a gait analysis technology of wearable equipment, and specifically relates to a diabetic foot risk early warning device based on the temporal and spatial characteristics of plantar pressure information. Background technique [0002] Since entering the 21st century, human society has progressed rapidly, and the quality of life has also improved rapidly. People are paying more and more attention to their own health. Feet are an essential and important part of the body, and people's daily life is inseparable from a pair of healthy feet. There are many reasons that affect people's normal walking gait. Diseases such as diabetes, Parkinson's disease, cerebral palsy, obesity, foot ulcers, and mild hemiplegia can all lead to structural changes in the foot, thereby affecting people's normal walking and affecting people's lives. A large proportion of the disability and death in diabetic patients is d...

AI Technical Summary

Problems solved by technology

The equipment used in the former is expensive and cumbersome to operate; as a simple and easy-to-use detection method, the plantar pressure measurement based on the wearable shoe system is an important development direction for determining diabetic feet in the future. It can test static and dynamic plantar states, It is used for the analysis of different movement patterns such as walking and running

However, most of the existing gait recognition systems based on wearable shoe systems are only responsible for daily monitoring and provide various digital indicators. There is insufficient utilization of plantar pressure information, and it is impossible to warn whether subjects have a high risk of diabetic foot

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