02433nam 2200457 450 991031757220332120221014165955.0953-51-7033-3(CKB)4970000000098362(NjHacI)994970000000098362(oapen)https://directory.doabooks.org/handle/20.500.12854/66252(MiAaPQ)EBC30390406(Au-PeEL)EBL30390406(EXLCZ)99497000000009836220221014d2012 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputational Intelligence in Electromyography Analysis A Perspective on Current Applications and Future Challenges /edited by Ganesh R. Naik1st ed.IntechOpen2012[Place of publication not identified] :IntechOpen,2012.1 online resource (462 pages)953-51-0805-0 Includes bibliographical references and index.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.Computational Intelligence in Electromyography Analysis Internal medicineMedical diagnosisInternal medicine.616Naik Ganesh Redt1365101Naik Ganesh R.NjHacINjHaclBOOK9910317572203321Computational Intelligence in Electromyography Analysis3386741UNINA