Product Description
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. | Biomedical Signal Processing A Modern Approach
Crc Press Biomedical Signal Processing A Modern Approach 09781032061917
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. | Biomedical Signal Processing A Modern Approach
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