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Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson's disease : a wavelet approach
DE MICHELE G; SELLO S; CARBONCINI MC
MED ENG PHYS , 2003, vol. 25, n° 5, p. 361-369 Doc n°: 109006 Localisation : Documentation IRR Descripteurs : AF5 - PARKINSON, AK2 - EMG Using a wavelet analysis approach, it is possible to investigate better the transient and intermittent behavior of multiple electromyographic (EMG) signals during ballistic movements in Parkinsonian patients. In particular, a wavelet cross-correlation analysis on surface signals of two different shoulder muscles allows us to evidence the related unsteady and synchronization characteristics. With a suitable global parameter extracted from local wavelet power spectra, it is possible to accurately classify the subjects in terms of a reliable statistic and to study the temporal evolution of the Parkinson's disease level. Moreover, a local intermittency measure appears as a new promising index to distinguish the low-frequency behavior from normal subjects to Parkinsonian patients. Langue : ANGLAIS Tiré à part : OUI Identifiant basis : 2003227104 |
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