Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric

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Title:	Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric
Authors:	ID Holobar, Aleš (Author) ID Minetto, Marco A. (Author) ID Farina, Dario (Author)
Files:	This document has no files. This document may have a physical copy in the library of the organization, check the status via COBISS.
Language:	English
Work type:	Article
Typology:	1.01 - Original Scientific Article
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Keywords:	high-density surface EMG, intramuscular EMG, high-force contractions, decomposition, accuracy of motor unit identification
Publication status in journal:	Published
Year of publishing:	2014
Number of pages:	str. 1-11
Numbering:	#Vol. #11, #no. #1
PID:	20.500.12556/DKUM-48146
UDC:	004.8
ISSN on article:	1741-2560
COBISS.SI-ID:	17445654
DOI:	10.1088/1741-2560/11/1/016008
NUK URN:	URN:SI:UM:DK:BLSP5NKE
Publication date in DKUM:	25.05.2015
Views:	1167
Downloads:	0
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Categories:	Misc.
:	Kopiraj citat

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Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Title:	Journal of neural engineering
Publisher:	Institute of Physics Publishing
ISSN:	1741-2560
COBISS.SI-ID:	15518742

Funder:	EC - European Commission
Funding programme:	FP7
Project number:	287739
Name:	A novel conceptfor support to diagnosis and remote management of tremor
Acronym:	NeuroTREMOR

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