EEG-based diagnosis of Alzheimer disease: a review and novel approaches for feature extraction and classification techniques
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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2018]
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource illustrations |
| ISBN: | 9780128153932 0128153938 9780128153925 012815392X |
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Datensatz im Suchindex
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| author | Kulkarni, Nilesh Bairagi, Vinayak |
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| dewey-search | 616.831075 |
| dewey-sort | 3616.831075 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | DE-604.BV045383042 |
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| indexdate | 2024-07-10T08:16:39Z |
| institution | BVB |
| isbn | 9780128153932 0128153938 9780128153925 012815392X |
| language | English |
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| publishDate | 2018 |
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| publisher | Academic Press |
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| spelling | Kulkarni, Nilesh Verfasser aut EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques Nilesh Kulkarni and Vinayak Bairagi London Academic Press [2018] 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Alzheimer's disease / Diagnosis fast Electroencephalography fast Alzheimer's disease Diagnosis Electroencephalography Bairagi, Vinayak aut https://www.sciencedirect.com/science/book/9780128153925 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kulkarni, Nilesh Bairagi, Vinayak EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Alzheimer's disease / Diagnosis fast Electroencephalography fast Alzheimer's disease Diagnosis Electroencephalography |
| title | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques |
| title_auth | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques |
| title_exact_search | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques |
| title_full | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques Nilesh Kulkarni and Vinayak Bairagi |
| title_fullStr | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques Nilesh Kulkarni and Vinayak Bairagi |
| title_full_unstemmed | EEG-based diagnosis of Alzheimer disease a review and novel approaches for feature extraction and classification techniques Nilesh Kulkarni and Vinayak Bairagi |
| title_short | EEG-based diagnosis of Alzheimer disease |
| title_sort | eeg based diagnosis of alzheimer disease a review and novel approaches for feature extraction and classification techniques |
| title_sub | a review and novel approaches for feature extraction and classification techniques |
| topic | HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Clinical Medicine bisacsh MEDICAL / Diseases bisacsh MEDICAL / Evidence-Based Medicine bisacsh MEDICAL / Internal Medicine bisacsh Alzheimer's disease / Diagnosis fast Electroencephalography fast Alzheimer's disease Diagnosis Electroencephalography |
| topic_facet | HEALTH & FITNESS / Diseases / General MEDICAL / Clinical Medicine MEDICAL / Diseases MEDICAL / Evidence-Based Medicine MEDICAL / Internal Medicine Alzheimer's disease / Diagnosis Electroencephalography Alzheimer's disease Diagnosis |
| url | https://www.sciencedirect.com/science/book/9780128153925 |
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