Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. Iván Olier. 1. , Juli`a Amengual. 2.

The cortical silent period (CSP) is one such parameter that corresponds to the suppression of muscle activity for a short period after a muscle response to TMS.

A variational Bayesian formulation for a manifold-constrained Hidden Markov Model is used in this paper to segment a set of multivariate time series of ...

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. Autor/s: Olier, I.; Amengual, J ...

Olier I, Amengual J, Vellido A. Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods ...

Títol: Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods ; Autors: Olier, I., Amengual, ...

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN 2010. [+][–]. Coauthor ...

Transcranial magnetic stimulation (TMS) is a powerful tool for the calculation of parameters related to the intracortical excitability and inhibition of the ...

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods . ×. Ratings and Comments. Julià L ...

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN 2010. [c7]. view. electronic ...