Repozitorij Univerze v Novi Gorici

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Naslov:Real-time motor unit identification from high-density surface EMG
Avtorji:Glaser, Vojko (Avtor)
Holobar, Aleš (Avtor)
Zazula, Damjan (Avtor)
Datoteke:Gradivo nima datotek. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. Povezava se odpre v novem oknu
Jezik:Angleški jezik
Vrsta gradiva:Neznano ()
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis:This study addresses online decomposition of high-density surface electromyograms (EMG) in real-time. The proposed method is based on previouslypublished Convolution Kernel Compensation (CKC) technique and sharesthe same decomposition paradigm, i.e. compensation of motor unit action potentials and direct identification of motor unit (MU) discharges. In contrast to previously published version of CKC, which operates in batch mode and requires ~ 10 s of EMG signal, the real-time implementation begins with batch processing of ~ 3 s of the EMG signal in the initialization stage and continues on with iterative updating of the estimators of MU discharges as blocks of new EMG samples become available. Its detailed comparison to previously validated batch version of CKC and asymptotically Bayesian optimal Linear Minimum Mean Square Error (LMMSE) estimator demonstrates high agreementin identified MU discharges among all three techniques. In the case of synthetic surface EMG with 20 dB signal-to-noise ratio, MU discharges were identified with average sensitivity of 98 %. In the case of experimental EMG, real-time CKC fully converged after initial 5 s of EMG recordings and real-time and batch CKC agreed on 90 % of MU discharges, on average. The real-time CKC identified slightly fewer MUs than its batch version (experimental EMG, 4 MUs versus 5 MUs identified by batch CKC, on average), but required only 0.6 s of processing time on regular personal computer for each second of multichannel surface EMG.
Ključne besede:discharge pattern, high-density EMG, surface EMG, motor unit, real time decomposition
Leto izida:2013
Št. strani:str. 949-958
Številčenje:no. 6, Vol. 21
COBISS_ID:17016854 Povezava se odpre v novem oknu
UDK:007.5:61
ISSN pri članku:1534-4320
URN:URN:SI:UNG:REP:Z3DQEIWU
DOI:10.1109/TNSRE.2013.2247631 Povezava se odpre v novem oknu
Število ogledov:3165
Število prenosov:0
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Gradivo ni uvrščeno v področja.
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.

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Gradivo je del revije

Naslov:IEEE transactions on neural systems and rehabilitation engineering
Skrajšan naslov:IEEE trans. neural syst. rehabil. eng.
Založnik:IEEE
ISSN:1534-4320
COBISS.SI-ID:320873 Novo okno

Gradivo je financirano iz projekta

Financer:EC - Evropska skupnost (EC)
Program financ.:FP7 - 7-th Framework Programme for Research and Technological Development
Številka projekta:287739
Naslov:A novel concept for support to diagnosis and remote management of tremor
Akronim:NeuroTREMOR
ID projekta:info:eu-repo/grantAgreement/EC/FP7/287739

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