The event related potentials recorded before, during and after the voluntary movement of a finger, contain relevant information regarding the nervous mechanism involved at central level As the phenomena of interest take place in short rime, the frequency information was obtained from the signal by means of a recursive implementation of a bivariate Autoregressive (AR) model. The spectral and cross-spectral parameters have been calculated in correspondence of each sample in the signal and for each recording electrode in the 10-20 system. The time course of the power in different frequency bands was obtained together with coherence and phase relationships. The algorithm allowed the evaluation of the rime instant in which the events of interest...
Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive ...
On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ER...
The objective of this research is to implement a set of signal processing techniques, namely the Sho...
In the present paper we describe the procedure of evaluation repeated EEG signals obtained from deep...
Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or ...
The pathways by which epileptic seizures propagate through the brain are unknown. Since the speed of...
The present work introduces an analysis framework for the detec-tion of transient synchronized state...
Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (E...
Time-Variant Autoregressive Models (TVAM) can be used to deal with the non-stationarities of electro...
This article provides a new, more comprehensive view of event-related brain dynamics founded on an i...
In this paper, we present a method for the study of synchronization patterns measured from EEG scalp...
Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive ...
AbstractTransient sensory, motor or cognitive event elicit not only phase-locked event-related poten...
Objective. In neuroscience, time-frequency analysis has been used to get insight into brain rhythms ...
Signal Analysis techniques are routinely used in Neuroscience to interpret raw signals harvested fro...
Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive ...
On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ER...
The objective of this research is to implement a set of signal processing techniques, namely the Sho...
In the present paper we describe the procedure of evaluation repeated EEG signals obtained from deep...
Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or ...
The pathways by which epileptic seizures propagate through the brain are unknown. Since the speed of...
The present work introduces an analysis framework for the detec-tion of transient synchronized state...
Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (E...
Time-Variant Autoregressive Models (TVAM) can be used to deal with the non-stationarities of electro...
This article provides a new, more comprehensive view of event-related brain dynamics founded on an i...
In this paper, we present a method for the study of synchronization patterns measured from EEG scalp...
Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive ...
AbstractTransient sensory, motor or cognitive event elicit not only phase-locked event-related poten...
Objective. In neuroscience, time-frequency analysis has been used to get insight into brain rhythms ...
Signal Analysis techniques are routinely used in Neuroscience to interpret raw signals harvested fro...
Although event-related potentials (ERPs) are widely used to study sensory, perceptual and cognitive ...
On the basis of a systems theoretical approach it was hypothesized that event-related potentials (ER...
The objective of this research is to implement a set of signal processing techniques, namely the Sho...