碩士 / 國立成功大學 / 電腦與通信工程研究所 / 104 / The purpose of the thesis is use inertial sensors to collect the movement signal and calculated the participants’ body angle. Then, the thesis use the Euler angle algorithm for Alzheimer’s disease(AD) subjects to classification. First, the thesis designed a series of dynamic procedures to determine subjects’ balance ability. The dynamic procedures will asked the subjects wore the inertial sensors on waist and toe. Second, the thesis designed the consultation system for Alzheimer's disease based on inertial sensor including signal preprocessing, Euler angle, feature extraction, feature normalization, and support vector machine-based classifier to separate AD patients from healthy people. And then, we design two movement grading mechanism to patient’s behave. One is multiple classifiers voting, and the other is collaborative filtering. Finally, the results showed that the optimal accuracy was closed to 82.22 percent for classifier to separate Alzheimer’s disease patients and healthy participants. We expect the proposed the consultation system for Alzheimer's disease may help the medical care practitioners to reduce the burden.
| Identifer | oai:union.ndltd.org:TW/104NCKU5652076 |
| Date | January 2016 |
| Creators | Ji-ChenLo, 羅際詮 |
| Contributors | Pau-Choo Chung, Ming-Chyi Pai, 詹寶珠, 白明奇 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 81 |
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