TY - BOOK
T1 - Biomedical Signal Processing
T2 - A Modern Approach
AU - Naik, Ganesh R.
AU - dos Santos, Wellington Pinheiro
PY - 2024
Y1 - 2024
N2 - This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: •Explains signal processing of neuroscience applications using modern data science techniques. •Provides comprehensible review on biomedical signals nature and acquisition aspects. •Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. •Includes computational intelligence, machine learning and biomedical signal processing and analysis. •Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
AB - This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: •Explains signal processing of neuroscience applications using modern data science techniques. •Provides comprehensible review on biomedical signals nature and acquisition aspects. •Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. •Includes computational intelligence, machine learning and biomedical signal processing and analysis. •Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
KW - signal processing applications
KW - Biomedical signal processing
KW - medical informatics applications
KW - physiologic monitoring
UR - http://www.scopus.com/inward/record.url?scp=85173811019&partnerID=8YFLogxK
U2 - 10.1201/9781003201137
DO - 10.1201/9781003201137
M3 - Anthology
AN - SCOPUS:85173811019
SN - 9781032061917
SN - 9781032061924
T3 - Biomedical Signal and Image Processing
BT - Biomedical Signal Processing
PB - CRC Press/Balkema
CY - Boca Raton, FL
ER -