TY - CHAP A1 - Takeshi Tsujimura A2 - Sho Yamamoto A3 - Kiyotaka Izumi ED1 - Ganesh R. Naik Y1 - 2012-10-17 PY - 2012 T1 - Hand Sign Classification Employing Myoelectric Signals of Forearm N2 - 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. BT - Computational Intelligence in Electromyography Analysis SP - Ch. 13 UR - https://doi.org/10.5772/51080 DO - 10.5772/51080 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-05-08 ER -