Combining Adaboost algorithm and spatiotemporal patterns for balance ability analysis of patients with Alzheimer's disease / 結合自適應增強演算法及時空特徵於阿茲海默氏症之平衡能力分析

碩士 / 國立成功大學 / 電腦與通信工程研究所 / 103 / The purpose of the thesis is use the sport signal of inertial sensors to calculated the spatiotemporal patterns of the body center of mass sway level for determine subjects’ balance ability. Then, use the adaboost algorithm for Alzheimer’s disease subjects to classification. First, the thesis designed a series of dynamic and static balance procedures to determine subjects’ balance ability. The thesis will asked the subjects wore the inertial sensors on waist and toe to obtain the sport signal in the balance procedures. And then, we will use the signal preprocessing and calibration to the inertial sensor signal for analysis and estimation. Next, the signal of the waist inertial sensor will be calculated to the trajectory of the body center of mass, then use the trajectory and body center of mass sway level to analyzed subjects’ information of sway level. And next, the sport signal of the foot inertial sensor will be calculated the sport features. We applied the adaboost algorithm with the foot inertial sensor signal features and the waist inertial sensor signal features for classification. Finally, we hoped the body center of mass sway level in the thesis could help the medical personnel to got more information to evaluated the balance ability for Alzheimer’s disease.

Identiferoai:union.ndltd.org:TW/103NCKU5652017
Date January 2015
CreatorsShou-HengYeh, 葉守恆
ContributorsPau-Choo Chung, Ming-Chyi Pai, 詹寶珠, 白明奇
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format51

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