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 2023 |
First published: |
2022 |
Editors: |
M. Murugappan
• Yuvaraj Rajamanickam
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
289 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-3-03-097847-1 |
Categories: |
Books
Promotions
|
LSN: |
3-03-097847-8 |
Barcode: |
9783030978471 |
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