碩士 / 國立臺北科技大學 / 機械工程系機電整合碩士班 / 107 / Electroencephalography (EEG) has emerged as a tool for assisting with the detection of Alzheimer’s Disease (AD). Most prior studies have used resting state EEG features to distinguish between AD and healthy control (HC). Theta and Beta band power can be successfully used to discriminate between AD and HC. Mild Cognitive Impairment (MCI) is a disease between HC and AD and it’s considered to be an early diagnostic indicator of AD. However, most researchers only focus on AD and HC.
Therefore, this thesis proposes a method which is based on resting state and EEG to discriminate between AD and HC, MCI and HC, AD and MCI and all of the three groups. The participants consist of 31 AD, 24 MCI and 32 HC. This thesis combines relative power, fisher’s criterion and Linear Discriminant Analysis (LDA), and this method can successfully discriminate between each group combination (AD vs HC: 90.42%, MCI vs HC: 86.46%, AD vs MCI: 88.44%, all groups: 71.64%).
| Identifer | oai:union.ndltd.org:TW/107TIT00651075 |
| Date | January 2019 |
| Creators | HUANG, CHUN-HUNG, 黃俊鈜 |
| Contributors | LIU, YI-HUNG, 劉益宏 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 75 |
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