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Biomedical Signal Processing [electronic resource] : Advances in Theory, Algorithms and Applications / edited by Ganesh Naik.

Contributor(s): Naik, Ganesh [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Series in BioEngineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: X, 432 p. 237 illus., 125 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811390975.Subject(s): Biomedical engineering | Signal processing | Pattern recognition systems | Computational intelligence | Mathematics—Data processing | Artificial intelligence | Biomedical Engineering and Bioengineering | Signal, Speech and Image Processing | Automated Pattern Recognition | Computational Intelligence | Computational Mathematics and Numerical Analysis | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 610.28 Online resources: Click here to access online
Contents:
Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs–A case study -- An EEG brain-computer interface to classify motor imagery signals.
In: Springer Nature eBookSummary: 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. .
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Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs–A case study -- An EEG brain-computer interface to classify motor imagery signals.

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. .

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