丸善のおすすめ度
EEG-Based Diagnosis of Alzheimer Disease:A Review and Novel Approaches for Feature Extraction and Classification Techniques
Kulkarni, Nilesh,
Bairagi, Vinayak
著
発行年月 |
2018年05月 |
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出版国 |
アメリカ合衆国 |
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言語 |
英語 |
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媒体 |
冊子 |
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装丁 |
paper |
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ページ数/巻数 |
110 p. |
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ジャンル |
洋書/生命科学・医学/神経・精神科学/神経・精神疾患 |
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ISBN |
9780128153925 |
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商品コード |
1026138573 |
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本の性格 |
学術書 |
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新刊案内掲載月 |
2017年12月 |
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商品URL
| https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1026138573 |
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内容
EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease.