Ganesh Naik – författare
1 522 kr
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788 kr
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936 kr
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Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience.
This book:
Includes a comprehensive review on biomedical signals nature and acquisition aspects Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas Provides a machine learning update to a classical biomedical signal processing approach Explains deep learning and application to biomedical signal processing and analysis Explores relevant biomedical engineering and neuroscience state-of-the-art applicationsThis book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.
936 kr
Läs direkt efter köp
Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience.
This book:
Includes a comprehensive review on biomedical signals nature and acquisition aspects Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas Provides a machine learning update to a classical biomedical signal processing approach Explains deep learning and application to biomedical signal processing and analysis Explores relevant biomedical engineering and neuroscience state-of-the-art applicationsThis book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.
628 kr
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1 604 kr
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1 903 kr
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2 351 kr
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This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.
1 903 kr
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