Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	June 2022
First published:	2022
Editors:	M. Murugappan • Yuvaraj Rajamanickam
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	289
Edition:	1st ed. 2022
ISBN-13:	978-3-03-097844-0
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-097844-3
Barcode:	9783030978440

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