LEADER 02433nam  2200457   450 
001 9910317572203321
005 20221014165955.0
010   $a953-51-7033-3
035   $a(CKB)4970000000098362
035   $a(NjHacI)994970000000098362
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/66252
035   $a(MiAaPQ)EBC30390406
035   $a(Au-PeEL)EBL30390406
035   $a(EXLCZ)994970000000098362
100   $a20221014d2012      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aComputational Intelligence in Electromyography Analysis $eA Perspective on Current Applications and Future Challenges /$fedited by Ganesh R. Naik
205   $a1st ed.
210   $cIntechOpen$d2012
210  1$a[Place of publication not identified] :$cIntechOpen,$d2012.
215   $a1 online resource (462 pages)
311   $a953-51-0805-0 
320   $aIncludes bibliographical references and index.
330   $aElectromyography (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.
517   $aComputational Intelligence in Electromyography Analysis 
606   $aInternal medicine
610   $aMedical diagnosis
615  0$aInternal medicine.
676   $a616
700   $aNaik$b Ganesh R$4edt$01365101
702   $aNaik$b Ganesh R.
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910317572203321
996   $aComputational Intelligence in Electromyography Analysis$93386741
997   $aUNINA