Biomedical Signal Analysis and Processing: A Comprehensive Guide

Author: Ganesh R. Naik

This book provides a comprehensive overview of the theoretical basis and applications of biomedical signal analysis and processing. It delves into the nature of common biomedical signals such as electroencephalography, electromyography, and electrocardiography, among others.

Theoretical Basis of Biomedical Signal Processing

The book summarizes the theoretical basis of linear signal processing, including continuous and discrete representation, linear filters, and convolutions. It also covers Fourier and Wavelets transforms, providing a solid foundation for understanding the processing of biomedical signals.

Machine Learning in Biomedical Signal Processing

Machine learning concepts are presented, ranging from classic methods to deep neural networks. This section prepares readers to apply machine learning techniques to biomedical signal processing, enabling them to extract valuable insights from complex data sets.

Applications in Neuroscience

The book presents several applications in neuroscience, focusing on diagnosis and therapy. It discusses how signal processing can be used to understand and address various neurological disorders, making it an essential resource for researchers and practitioners in the field.

Additional Applications

In addition to neuroscience applications, the book covers other areas such as cardiovascular and muscle-related biomedical signals. It demonstrates how signal processing can be applied across various biomedical disciplines, highlighting its versatility and importance.

Computational Intelligence and Deep Learning

The book reviews the theoretical basis of deep learning and its applications in biomedical signal processing. It provides an in-depth look at how computational intelligence can be leveraged to improve the accuracy and efficiency of signal processing, leading to better patient outcomes.

Publication Details:

Published by: CRC Press

Publication Date: September 27, 2023

Language: English

ISBN: 9781032061917, 9781000906462