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Biomedical Signal Processing: Advances in Theory, Algorithms and Applications de Ganesh Naik

Biomedical Signal Processing: Advances in Theory, Algorithms and Applications: Series in BioEngineering

Editat de Ganesh Naik
en Limba Engleză Paperback – 25 noi 2020
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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Paperback (1) 112123 lei  6-8 săpt.
  Springer Nature Singapore – 25 noi 2020 112123 lei  6-8 săpt.
Hardback (1) 112808 lei  6-8 săpt.
  Springer Nature Singapore – 25 noi 2019 112808 lei  6-8 săpt.

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Specificații

ISBN-13: 9789811390999
ISBN-10: 9811390991
Pagini: 432
Ilustrații: X, 432 p. 237 illus., 125 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.62 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Series in BioEngineering

Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

Ganesh Naik received his BE in Electronics and Communication Engineering from the University of Mysore, India, in 1997, his ME in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002, and his PhD in Electronics Engineering, specializing in Biomedical Engineering and Signal Processing, from RMIT University, Melbourne, Australia, in 2009.
He is currently an academic and postdoctoral research fellow at MARCS Institute, Western Sydney University. Prior to that he held a Chancellor’s Post-Doctoral Research Fellowship position at the Faculty of Engineering and Information Technology (FEIT), UTS. To date he has edited 11 books, and authored more than 100 book chapters and articles in peer-reviewed journals and conference proceedings. His research interests include EMG signal processing, pattern recognition, Blind Source Separation (BSS) techniques, biomedical signal processing, Human–Computer Interface (HCI) and audio signal processing.
At present, he is serving as an associate editor of IEEE ACCESS and two Springer journals. He is also a reviewer and member of the editorial board for several reputed journals. He was a recipient of the Baden–Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006–2007). In 2010, Dr Naik was awarded an ISSI overseas fellowship by the Skilled Institute in Victoria, Australia.

Textul de pe ultima copertă

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. 

Caracteristici

Covers cutting-edge topics in biomedical signal analysis, highlighting open problems concerning clinical applications Presents both theory and applications with examples Offers an in-depth analysis of biomedical signal processing topics Discusses cutting-edge aspects of biomedical signals and provides comprehensive information on the core principles of various biomedical signal applications