Emerging Theory and Practice in Neuroprosthetics

Emerging Theory and Practice in Neuroprosthetics

Ganesh R. Naik, Yina Guo
Indexed In: SCOPUS
Release Date: May, 2014|Copyright: © 2014 |Pages: 377
DOI: 10.4018/978-1-4666-6094-6
ISBN13: 9781466660946|ISBN10: 1466660945|EISBN13: 9781466660953
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Description & Coverage
Description:

Neuroprosthetics is a fast-growing area that brings together the fields of biomedical engineering and neuroscience as a means to interface the neural system directly to prostheses. Advancing research and applications in this field can assist in successfully restoring motor, sensory, and cognitive functions.

Emerging Theory and Practice in Neuroprosthetics brings together the most up-to-date research surrounding neuroprosthetics advances and applications. Presenting several new results, concepts, and further developments in the area of neuroprosthetics, this book is an essential publication for researchers, upper-level students, engineers, and medical practitioners.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Anatomy and Physiology of Central Nervous System
  • Brain-Computer Interface
  • Design of Neuroprosthetic Devices
  • Implementation of Neuroprosthetic Devices
  • Neural Signal Processing
  • Neuroplasticity
  • Neuroprosthetic Control
  • Prosthetic Limbs
  • Skeletal Muscle
  • Voluntary Muscle Control
Reviews & Statements

Contributors from electrical and biomedical engineering and from various medical specialties review the literature and present their own findings on prosthetics designed to restore motor, sensory, and cognitive functions. Among the topics are current applications and future directions of sensors for motor neuroprosthetics, models of cooperation between medical specialists and biomedical engineers in neuroprosthetics, applications for wireless brain-computer interface systems, brain-computer interfaces for the control of upper extremity neuroprostheses in individuals with high spinal cord injury, and practical artifact removal brain-computer interface system with applications to neuroprosthetics.

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Editor/Author Biographies
Ganesh R. Naik received B.E. degree in Electronics and Communication Engineering from the University of Mysore, India, in 1997. He received his M.E. degree in Communication and Information Engineering from Griffith University, Brisbane, Australia, in 2002, and the PhD degree in the area of Electronics Engineering, specialised in Biomedical Engineering and Signal processing from RMIT University, Melbourne, Australia, in 2009. He is currently Chancellor's Post Doctoral Research Fellow at Faculty of Engineering and Information Technology (FEIT), UTS. As an early career researcher, he has edited 9 books, authored more than 80 papers in peer reviewed journals, conferences, and book chapters over the last five years. 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. Currently he serves as an associate editor for two Springer journals (Circuits, Systems, and Signal Processing and Australasian Physical & Engineering Sciences in Medicine). He is also a reviewer and member of editorial board in several reputed journals. He is a recipient of the Baden–Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006–2007). In 2010, Dr. Naik is awarded with ISSI overseas fellowship from skilled Institute Victoria, Australia.

Yina Guo is an associate professor at the Department of Electronic and Communication, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China. Her current research focuses on biosignal processing and machine learning. Yina Guo has taken charge of a General Program of National Natural Science Foundation of China, “Multiscale Analysis and Blind Source Separation of Single Channel Mixed Signals” (No.61301250) and several scientific projects of Shanxi province in last 5 years. She has obtained 3 patents in China: (1) “A Single Channel Blind Source Separation Method Based on sEMG in Human Body” (ZL201210114093.1), (2) “A sEMG Signal Collector in Human Body” (ZL201120232365.9), and (3) “A Seepage and Osmotic Pressure Monitoring Device” (ZL201010154776.0). In addition, she has published more than 30 refereed papers in last 5 years. She won the Merit Citation Class II and Merit Collective Citation Class I of Shanxi Province for Her Good Teaching Skill in 2010 and 2011, respectively, and Science and Technology Contribution Award of Shanxi Province in 2011. She is a member of the seventh congress in science and technology association of Taiyuan.

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