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Naslov:Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG
Avtorji:Istenič, Rok (Avtor)
Kaplanis, Prodromos A. (Avtor)
Pattichis, Constantinos S. (Avtor)
Zazula, Damjan (Avtor)
Datoteke:URL http://www.wseas.us/e-library/transactions/signal/2008/25-301.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano ()
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, myopathic or neuropathic, regarding to the acquired EMG signals. 39 subjects in total participated in the experiment, 19 normal, 11 myopathic and 9 neuropathic. Surface EMG was recorded using 4-channel surface electrodes on the biceps brachii muscle at isometric voluntary contractions. The recording time was only 5 seconds long to avoid muscle fatigue, and contractions at fiveforce levels were performed, i.e. 10, 30, 50, 70 and 100 % of maximal voluntary contraction. The feature extraction routine deployed the wavelet transform and calculation of the Shannon entropy across all the scales in order to obtain a feature set for each subject. Subjects were classified regarding the extracted features using three machine learning techniques, i.e. decision trees, support vector machines and ensembles of support vector machines. Four 2-class classifications and a 3-class classification were performed. The scored classification rates were the following: 64+-11% for normal/abnormal, 74+-7% for normal/myopathic, 79+-8% for normal/neuropathic, 49+-20% for myopathic/neuropathic, and 63+-8% for normal/myopathic/neuropathic.
Ključne besede:surface electromyography, neuromuscular disorders, neuropathy, myopathy, EMG signals, signal processing, wavelet transform, metrics
Leto izida:2008
UDK:621.391:61
COBISS_ID:12385046 Novo okno
ISSN pri članku:1790-5052
NUK URN:URN:SI:UM:DK:KIY0RC7I
Število ogledov:1282
Število prenosov:27
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:WSEAS transactions on signal processing
Skrajšan naslov:WSEAS trans. signal process.
Založnik:World Scientific and Engineering Academy and Society
ISSN:1790-5052
COBISS.SI-ID:2574443 Novo okno

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:elektromiografija, nevrologija, medicina, diagnostika, obdelava signalov, obdelava slik, medicinske slike, valčna transformacija


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