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On the impact of pathological tremor intensity on noninvasive characterization of motor unit discharge properties [Elektronski vir]Povalej Bržan, Petra ...The impact of severity of pathological tremor on surface EMG decomposition wassystematically assessed on eight essential tremor patients. The inertial data and surface EMG signals were concurrently ... recorded from wrist extensor and flexor muscles of both patientsʼ arms. The inertial recordings were segmented into different tremor cycles and the tremor amplitude was assessed in each tremor cycle. Surface EMG was decomposed by Convolution Kernel Compensation (CKC) technique in order to yield individual motor unit dischargepatterns in each tremor cycle. Accuracy of EMG decomposition was assessed for each identified motor unit and was largely uncorrelated with tremor amplitude. In all the patients, the percentage of EMG energy identifiedby decomposition and the number of identified motor units were foundto be positively correlated with tremor amplitude, though the correlationwas relatively weak and not always significant. The results demonstrate that the CKC decomposition not only copes with moderate and severetremor but also improves its performance with tremor intensity.Source: NEUROTECHNIX 2013 [Elektronski vir] : proceedings (str. 126-132)Type of material - conference contributionPublish date - 2013Language - englishCOBISS.SI-ID - 17443350
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Povalej Bržan, Petra | 22439 |
Glaser, Vojko | 31095 |
Zelič, Simon | 34983 |
Álvaro Gallego, Juan | |
Romero Muñoz, Juan Pablo | |
Holobar, Aleš | 21301 |
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