Advanced electroencephalography analytical methods (33 Ergebnisse)

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Zustand: New. Ganesh Naik, ranked in the top 2% of researchers in Biomedical Engineering (Stanford University Research), is a leading expert in biomedical engineering and signal processing. He received his Ph.D. degree in Electronics Engineering, spec.

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Taschenbuch. Zustand: Neu. Neuware - 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 applications This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science. …

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Hardback. Zustand: New. 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 aspectsFocuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areasProvides a machine learning update to a classical biomedical signal processing approachExplains deep learning and application to biomedical signal processing and analysisExplores 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. …

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Hardback. Zustand: New. 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 aspectsFocuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areasProvides a machine learning update to a classical biomedical signal processing approachExplains deep learning and application to biomedical signal processing and analysisExplores 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. …

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Paperback. Zustand: new. Paperback. 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 aspectsFocuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areasProvides a machine learning update to a classical biomedical signal processing approachExplains deep learning and application to biomedical signal processing and analysisExplores 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. This book 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Zustand: new. Paperback. 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 aspectsFocuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areasProvides a machine learning update to a classical biomedical signal processing approachExplains deep learning and application to biomedical signal processing and analysisExplores 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. This book 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Zustand: new. Paperback. 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 aspectsFocuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areasProvides a machine learning update to a classical biomedical signal processing approachExplains deep learning and application to biomedical signal processing and analysisExplores 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. This book 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ganesh Naik, ranked in the top 2% of researchers in Biomedical Engineering (Stanford University Research), is a leading expert in biomedical engineering and signal processing. He received his Ph.D. degree in Electronics Engineering, spec.…