Towards automated electroencephalography-based Alzheimer’s disease diagnosis using portable low-density devices

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• 作者：Raymundo Cassani^a ; ^{raymundo.cassani@gmail.com} ; Tiago H. Falk^a ; ^{falk@emt.inrs.ca} ; Francisco J. Fraga^b ; ^{franciscojfraga@gmail.com} ; Marco Cecchi^c ; ^{mcecchi@neuronetrix.com} ; Dennis K. Moore^c ; ^{dmoore@neuronetrix.com} ; Renato Anghinah^d ; ^{anghinah@terra.com.br}
• 关键词：Alzheimer&rsquo ; s disease (AD) ; Electroencephalography (EEG) ; Portable ; Low-density ; Amplitude modulation ; Spectral power ; Coherence ; Diagnosis
• 刊名：Biomedical Signal Processing and Control
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：33
• 期：Complete
• 页码：261-271
• 全文大小：2284 K
• 卷排序：33

文摘

Electroencephalography, a non-invasive technique to study Alzheimer’s disease. Enhancement of low-density EEG signals with automated artifact removal. EEG-based Alzheimer’s disease diagnosis, promising tool in developing countries. Leave-One-Subject-Out cross-validation to reduce optimistic bias in classification.