Abnormal-gait based auxiliary diagnosis system for Parkinson's disease

被引：0
|
作者：
Fan, Xuwei [1 ]
Gao, Zhibin [1 ]
Lin, Hezhi [1 ]
Huang, Lianfen [1 ]
机构：
[1] Department of Communication Engineering, Xiamen University, Xiamen, Fujian, China
来源：
Journal of Computers (Taiwan) | 2020年 / 31卷 / 01期
关键词：
Parkinson's disease as a neurological disease affects the patient's gait. It is very dangerous for the Parkinson's patient to have panic gait and freezing of gait (FOG). With the development of medical technology; Parkinson's disease can be well controlled; so that the early diagnosis of abnormal gait of patients has caused widespread concern. We design a auxiliary diagnosis system based on abnormal gait. Through the study of linear regression and wavelet transform; we finally successfully detect the patient's panic gait and freezing of gait (FOG). The average detection error of the step length is 3.17cm; the sensitivity of FOG detection is 90.2% and the specificity is 88.0%. The test results show that the abnormal-gait based auxiliary diagnosis system for Parkinson's disease can help doctors to diagnose the patient's symptoms and has a good application prospect. © 2020 Computer Society of the Republic of China. All rights reserved;
D O I：
10.3966/199115992020023101019
中图分类号：
学科分类号：
摘要：
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页码：218 / 224
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