000			02925nam a22005775i 4500
001			978-981-287-320-0
003			DE-He213
005			20200420220226.0
007			cr nn 008mamaa
008			150210s2015 si | s |||| 0|eng d
020			_a9789812873200 _9978-981-287-320-0
024	7		_a10.1007/978-981-287-320-0 _2doi
050		4	_aR856-857
072		7	_aMQW _2bicssc
072		7	_aTEC009000 _2bisacsh
082	0	4	_a610.28 _223
100	1		_aMokhlesabadifarahani, Bita. _eauthor.
245	1	0	_aEMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction _h[electronic resource] / _cby Bita Mokhlesabadifarahani, Vinit Kumar Gunjan.
264		1	_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2015.
300			_aXV, 35 p. 17 illus., 13 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X
505	0		_aIntroduction to EMG Technique and Feature Extraction -- Methodology for  working with EMG dataset -- Results -- Conclusions and Inferences of Present Study.
520			_aNeuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
650		0	_aEngineering.
650		0	_aForensic science.
650		0	_aHealth informatics.
650		0	_aOrthopedics.
650		0	_aRehabilitation.
650		0	_aBioinformatics.
650		0	_aBiomedical engineering.
650	1	4	_aEngineering.
650	2	4	_aBiomedical Engineering.
650	2	4	_aOrthopedics.
650	2	4	_aForensic Science.
650	2	4	_aComputational Biology/Bioinformatics.
650	2	4	_aHealth Informatics.
650	2	4	_aRehabilitation.
700	1		_aGunjan, Vinit Kumar. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789812873194
830		0	_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X
856	4	0	_uhttp://dx.doi.org/10.1007/978-981-287-320-0
912			_aZDB-2-ENG
942			_cEBK
999			_c52219 _d52219