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Gait analysis method based on plantar pressure

A technology of plantar pressure and analysis method, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems of weak, complex, unstable signals, etc., to reduce difficulty and error rate, large amount of information, and increase accuracy rate effect

Active Publication Date: 2013-09-04
PEKING UNIV
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AI Technical Summary

Problems solved by technology

The biggest disadvantage of human biological signals is that the signal is weak and unstable, so no matter the signal acquisition, processing or analysis, it is very complicated.

Method used

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  • Gait analysis method based on plantar pressure
  • Gait analysis method based on plantar pressure
  • Gait analysis method based on plantar pressure

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Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] The invention is used for analyzing the gait phase of the human body and the movement pattern information of the lower limbs, so as to make control decisions for intelligent artificial limbs. Such as figure 1 Shown, the present invention comprises the following steps:

[0018] 1) Gait analysis is performed by collecting plantar pressure signals through four pressure sensors arranged on the soles of each foot.

[0019] 2) Perform gait phase analysis on the collected foot pressure signals: compare the pressure sum collected by the four pressure sensors on each foot with the preset threshold, when the pressure sum collected by the four pressure sensors is less than the preset threshold , the sole of the foot is in the swing phase; otherwise, the sole of the foot is in the support phase.

[0020] 3) According to the plantar pressure signal, it i...

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Abstract

The invention relates to a gait analysis method based on a plantar pressure. The gait analysis method comprises the steps of: (1) collecting plantar pressure signals through four pressure sensors; (2) carrying out gait phase analysis for the collected plantar pressure signals, comparing the total value of pressures collected by the four pressure sensors with a preset threshold value, the planta is in a swing phase when the total value of the pressures collected by the four pressure sensors is less than the preset threshold value, otherwise, the planta is in a supporting phase; (3) judging whether the gait phase analysis result is switched with the previous gait phase analysis result or not according to the plantar pressure signals, and entering into the next step at the point in time if the switching of gait phases happens; (4) carrying out an lower limb movement mode analysis based on the gait phases within the switching time of the gait phases; and (5) judging whether the gait analysis needs to be stopped or not according to a lower limb movement mode analysis result, and returning to the step (1) if not. The gait analysis method based on the plantar pressure, disclosed by the invention, can supply abundant human body movement information for the control of intelligent lower artificial limbs, and can be widely applied to the field of gait mode recognition.

Description

technical field [0001] The invention relates to the field of gait pattern recognition, in particular to a gait analysis method based on plantar pressure. Background technique [0002] With the aging of China's population structure and the frequent occurrence of natural disasters and safety accidents in recent years, the number of people with lower limb disabilities has gradually increased. Prosthetics are widely used as an important tool for amputees to regain some of their ability to live. The development of new technologies has made people no longer satisfied with traditional lower limb prostheses that can only play a supporting role and enhance aesthetics. Intelligent lower limb prostheses are becoming a hot spot in rehabilitation research. Intelligent lower limb prosthetics can identify human movement trends based on human biological signals and external environmental information, and replace missing limbs to achieve normal walking. As the interaction between the human...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11
Inventor 王雪刚王启宁魏坤琳陈保君王龙
Owner PEKING UNIV
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