Title :
Nonlinear system identification in multisensory evoked potential studies
Author :
Corrales, Tomás Aljama ; Aunón, Jorge I.
Author_Institution :
Univ. Autonoma Metropolitana, Mexico City, Mexico
Abstract :
This work addresses the modeling of electrophysiological information when concurrent visual and auditory stimulation is considered. Contributions from different sensory paths, in multisensory evoked potentials, have not been suitable established by traditional signal processing techniques. The nonlinear autoregressive with exogenous inputs (NARX) model is proposed and explored to establish a relationship between electrical activities of the brain obtained by unimodal and by bimodal stimulation. The intersensory phenomenon concept is stated using nonlinear system theory
Keywords :
auditory evoked potentials; autoregressive processes; brain models; electroencephalography; identification; neurophysiology; nonlinear systems; visual evoked potentials; NARX; auditory stimulation; bimodal stimulation; brain; concurrent stimulation; different sensory paths; electrical activities; intersensory phenomenon concept; multisensory evoked potential studies; nonlinear autoregressive with exogenous inputs model; nonlinear system identification; nonlinear system theory; unimodal stimulation; visual stimulation; Arithmetic; Brain modeling; Cities and towns; Delay; Educational institutions; Electronic mail; Linear systems; Neural pathways; Nonlinear systems; Predictive models;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804149
