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books
| book details |
Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis
Edited by Rajesh Kumar Tripathy, Edited by Ram Bilas Pachori, Edited by Sibasankar Padhy, Edited by Maarten De Vos
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| on special |
normal price: R 5 773.95
Price: R 5 195.95
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| book description |
Non-Stationary and Nonlinear Data Processing for Automated Computer-Aided Medical Diagnosis demonstrates the applications of machine learning and deep learning combined with signal processing techniques for human-machine interface applications using EMG signals. The book includes the analysis and classification of various heart diseases based on bio-signals like electrocardiogram (ECG), photoplethysmography (PPG), and phonocardiogram (PCG) signals. Various machine learning approaches, including advanced algorithms like multivariate signal processing, time-frequency analysis, and nonlinear signal processing are covered for CAD of neural, muscular, and cardiovascular diseases. The methods for CAD of various brain disorders are also included. Presented techniques utilize advanced non-stationary and nonlinear signal processing, along with machine learning and deep learning-based classification processes. CAD methods for diagnosing various neurological diseases are based on bio-signals such as electroencephalogram (EEG) and magnetoencephalogram (MEG), as well as medical images like magnetic resonance imaging (MRI) and computerized tomography (CT). Finally, the book addresses various types of medical signals and images, integrating nonlinear and non-stationary signal processing, machine learning, and deep learning within the CAD framework for diagnosing various diseases.
| product details |

Normally shipped |
Publisher | Elsevier Science Publishing Co Inc
Published date | 1 Jun 2026
Language |
Format | Paperback / softback
Pages | 422
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4433-1426-1
Readership Age |
BISAC | science / biotechnology
| other options |

Normally shipped |
Readership Age |
Normal Price | R 6 537.95
Price | R 5 883.95
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