文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | Abnormal-Gait Based Auxiliary Diagnosis System for Parkinson’s Disease |
|---|---|
| 卷期 | 31:1 |
| 作者 | Xuwei Fan 、 Zhibin Gao 、 Hezhi Lin 、 Lianfen Huang |
| 頁次 | 218-224 |
| 關鍵字 | auxiliary diagnosis 、 FOG 、 linear regression 、 panic gait 、 wavelet transform 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202002 |
| DOI | 10.3966/199115992020023101019 |
中文摘要
英文摘要
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.
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