Different methods are compared for the evaluation of the event related synchronization (ERS) in the beta rhythm corresponding to finger movements. In addition to the standard procedure usually employed, the realistic Surface Laplacian (SL) is here introduced to improve the spatial localization of the phenomenon, while a Wavelet Packet (WP) decomposition approach is intended to better detect the time dependent characteristics. The parameters of interest (ERS amplitude and latency) were statistically analyzed through Analysis of Variance (ANOVA) and Scheffe's test. The WP filtering results are well comparable with the traditional filtering procedure. On the other hand, the realistic SL considerably improves the spatial localization and the consistency of the estimation (decreased variance) of the ERS amplitude.

Time frequency analysis and spatial filtering in the evaluation of beta ERS after finger movement

BIANCHI, ANNA MARIA;CERUTTI, SERGIO;
2001-01-01

Abstract

Different methods are compared for the evaluation of the event related synchronization (ERS) in the beta rhythm corresponding to finger movements. In addition to the standard procedure usually employed, the realistic Surface Laplacian (SL) is here introduced to improve the spatial localization of the phenomenon, while a Wavelet Packet (WP) decomposition approach is intended to better detect the time dependent characteristics. The parameters of interest (ERS amplitude and latency) were statistically analyzed through Analysis of Variance (ANOVA) and Scheffe's test. The WP filtering results are well comparable with the traditional filtering procedure. On the other hand, the realistic SL considerably improves the spatial localization and the consistency of the estimation (decreased variance) of the ERS amplitude.
2001
Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
0-7803-7211-5
time dependent characteristics detection, spatial filtering, beta ERS evaluation, EEG analysis, time dependent characteristics, finger movement,
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/265485
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