Ganesh R. Naik

RMIT UniversityAustralia

Ganesh R. Naik received his B.E. degree in electronics and communication engineering from the University of Mysore, Mysore, India, in 1997, M.E. degree in communication and information engineering from the Griffith University, Brisbane, Australia, in 2002, and PhD degree in the area of digital signal processing from RMIT University, Melbourne, Australia, in 2009. He is currently an academician and researcher at RMIT University. As an early career researcher, he has authored more than 60 papers in peer reviewed journals, conferences and book chapters over the last five years. His research interests include pattern recognition, blind source separation techniques, audio signal processing, biosignal processing, and human–computer interface. Dr. Naik was the Chair for the IEEE Computer Society CIT08 Conference, Sydney and a member of the organising committee for IEEE BRC2011 conference, Vitoria, Brazil. He was a recipient of the Baden–Württemberg Scholarship from the University of Berufsakademie, Stuttgart, Germany (2006–2007). Recently Dr. Naik was awarded with ISSI overseas fellowship from skilled Institute Victoria, Australia.

5books edited

2chapters authored

Latest work with IntechOpen by Ganesh R. Naik

Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research.

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