Biomedical signals based computer-aided diagnosis for neurological disorders / M. Murugappan, Yuvaraj Rajamanickam, editors.
Murugappan, M., editor.; Rajamanickam, Yuvaraj, editor.
2022
RC348
Available Online

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Title Biomedical signals based computer-aided diagnosis for neurological disorders / M. Murugappan, Yuvaraj Rajamanickam, editors.
ISBN 9783030978457 (electronic bk.)
3030978451 (electronic bk.)
9783030978440 (print)
DOI https://doi.org/10.1007/978-3-030-97845-7
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource (x, 289 pages) : illustrations
Item Number 10.1007/978-3-030-97845-7 doi
Call Number RC348
Dewey Decimal Classification 616.8/0475
Summary Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders. Presents the concepts of CAD for various neurological disorders; Covers biomedical signal processing and machine learning/deep learning techniques; Includes case studies, real-time examples, and research directions.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 22, 2022).
Added Author Murugappan, M., editor.
Rajamanickam, Yuvaraj, editor.
Linked Resources Online Access
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