Heriberto Zavala-Fernández

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Motivation ' ' ' From the multitude of algorithms described theoretically it is very difficult for the practitioner to choose a suitable algorithm for the task at hand. Only very few studies address this for experimental data. In the present study the focus is on the two most common biological artifacts in MEG data: and. [1-3] ' heart beat eye movements(More)
The application of Blind Source Separation (BSS) is now an accepted technique in the feld of biosignal processing. The reduction of noise (biological and technical artifacts) in body surface potential mapping recorded during exercise is a frequent goal. Two BSS methods (FastICA and temporal decorrelation) for removing noise are compared with respect to the(More)
Acquisitions of body surface potentials require in some studies that, patients perform exercise on cycle ergometer to increase their heart rate. Under this condition recordings are highly affected by the muscular activity derived from the pedalling (motion artefact). To reject this interference we propose the use of independent component analysis (ICA) by(More)
Event-related potentials (ERP) recorded by electroencephalography (EEG) are brain responses following an external stimulus, e.g., a sound or an image. They are used in fundamental cognitive research and neurological and psychiatric clinical research. ERPs are weaker than spontaneous brain activity and therefore it is difficult or even impossible to identify(More)
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