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DKUM
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Title:
Surface EMG decomposition using a novel approach for blind source separation
Authors:
ID
Holobar, Aleš
(
Author
)
ID
Zazula, Damjan
(
Author
)
Files:
http://ims.mf.uni-lj.si/archive/08(1)/IMS08(1)web.pdf
Language:
English
Work type:
Unknown
Typology:
1.04 - Professional Article
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
We introduce a new method to perform a blind deconvolution of the surface electromyogram (EMG) signals generated by isometric muscle contractions. The method extracts the information from the raw EMG signals detected only on the skin surface, enabling longtime noninvasive monitoring of the electromuscular properties. Its preliminary results show that surface EMG signals can be used to determine the number of active motor units, the motor unit firing rate and the shape of the average action potential in each motor unit.
Keywords:
blind source separation
,
deconvolution
,
surface EMG decomposition
Year of publishing:
2003
PID:
20.500.12556/DKUM-27699
UDC:
621.391:004
ISSN on article:
1318-2129
COBISS.SI-ID:
8264470
NUK URN:
URN:SI:UM:DK:F7CK45SW
Publication date in DKUM:
01.06.2012
Views:
2941
Downloads:
55
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Informatica medica slovenica
Publisher:
Zdravstveni dom dr. Adolfa Drolca
ISSN:
1318-2129
COBISS.SI-ID:
37756160
Secondary language
Language:
English
Keywords:
slepa ločitev izvorov
,
dekonvolucija
,
površinska EMG dekompozicija
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