Parkinson patient walking ability evaluation method based on gait time-space parameters and three-dimensional force characteristics

Abstract

The invention discloses a Parkinson patient walking ability evaluation method based on gait time-space parameters and three-dimensional force characteristics. The Parkinson patient walking ability evaluation method based on the gait time-space parameters and the three-dimensional force characteristics comprises the steps of acquirement of foot sole pressure data and three-dimensional force data, data processing and feature parameter extraction, and walking ability evaluation, wherein the acquirement of the foot sole pressure data and the three-dimensional force data refers to utilizing a gait channel formed by a flexible array pressure sensor and a three-dimensional force testing platform to acquire gait data of a Parkinson patient in a normal walking process; the data processing and the feature parameter extraction refer to conducting analysis on the foot sole pressure data and the three-dimensional force data and extracting the gait time-space parameters and three-dimensional force characteristic parameters; the walking ability evaluation refers to conducting classification on the gait time-space parameters and the three-dimensional force characteristic parameters through utilizing fuzzy algorithm, and the walking ability evaluation of the Parkinson patient is achieved. By means of the Parkinson patient walking ability evaluation method based on the gait time-space parameters and the three-dimensional force characteristics, the defect exists in a current clinical Parkinson patient walking ability evaluation method is overcome, the testing process is simple, and the operative difficulty index is low; multimodal information fusion is utilized, and the gait information is relatively comprehensive.

Description

technical field [0001] The invention relates to the fields of sensor technology, biomedical engineering, pattern recognition and the like, in particular to a walking ability evaluation method for Parkinson's patients based on gait space-time parameters and three-dimensional force features. Background technique [0002] Parkinson's disease (PD), also known as Parkinson's disease, is a common neurological disease, and the elderly are the main sufferers of Parkinson's disease. Currently, there are more than 1 million patients with Parkinson's disease in my country. As the world's population enters an age of aging, the situation of Parkinson's disease is becoming more and more severe. The clinical manifestations of Parkinson's patients are mainly tremor, walking disorder, muscle rigidity and slowness of movement, among which walking disorder and slowness of movement are more obvious features of Parkinson's patients, accounting for 30% of the first symptoms of Parkinson's. As i...

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Problems solved by technology

These methods all have the disadvantage of single gait characteristics and low calculation accuracy of parameters. Among them, the gait analysis system based on infrared high-speed camera will have light occlusion and lead to inaccurate parameter extraction, while the ultrasonic gait analysis system generally has parameters Disadvantages of low calculation accuracy

At present, the clinical gait assessment of Parkinson's patients mainly adopts the visual method, which mainly relies on the physician's observation and experience, and its disadvantage is that in clinical work, it is often seen that there are large differences in the gait disorder assessment of the same patient by different physicians. Phenomenon

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