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dc.contributor.author
Carmona Viglianco, Victor Luciano  
dc.contributor.author
Diez, Pablo Federico  
dc.contributor.author
Laciar Leber, Eric  
dc.contributor.author
Mut, Vicente Antonio  
dc.date.available
2022-03-24T02:49:21Z  
dc.date.issued
2020-04  
dc.identifier.citation
Carmona Viglianco, Victor Luciano; Diez, Pablo Federico; Laciar Leber, Eric; Mut, Vicente Antonio; Multisensory Stimulation and EEG Recording below the Hair-Line: A New Paradigm on Brain Computer Interfaces; Institute of Electrical and Electronics Engineers; Ieee Transactions On Neural Systems And Rehabilitation Engineering; 28; 4; 4-2020; 825-831  
dc.identifier.issn
1534-4320  
dc.identifier.uri
http://hdl.handle.net/11336/153860  
dc.description.abstract
To test the feasibility of implementing multisensory (auditory and visual) stimulation in combination with electrodes placed on non-hair positions to design more efficient and comfortable Brain-computer interfaces (BCI). Fifteen volunteers participated in the experiments. They were stimulated by visual, auditory and multisensory stimuli set at 37, 38, 39 and 40Hz and at different phases (0◦, 90◦, 180◦ and 270◦). The electroencephalogram (EEG) was measured from Oz, T7, T8, Tp9 and Tp10 positions. To evaluate the amplitude of the visual and auditory evoked potentials, the signal-to-noise ratio (SNR) was used and the accuracy of detection was calculated using canonical correlation analysis. Additionally, the volunteers were asked about the discomfort of each kind of stimulus. The multisensory stimulation allows for attaining higher SNR on every electrode. Non-hair (Tp9 and Tp10) positions attained SNR and accuracy similar to the ones obtained from occipital positions on visual stimulation. No significant difference was found on the discomfort produced by each kind of stimulation. The results demonstrated that multisensory stimulation can help in obtaining high amplitude steady-state evoked responses with a similar discomfort level. Then, it is possible to design a more efficient and comfortable hybrid-BCI based on multisensory stimulation and electrodes on non-hair positions. The current article proposes a new paradigm for hybrid-BCI based on steadystate evoked potentials measured from the area behind-theears and elicited by multisensory stimulation, thus, allowing subjects to achieve similar performance to the one achieved by visual-occipital BCI, but measuring the EEG on a more comfortable electrode location.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BRAIN-COMPUTER INTERFACE  
dc.subject
MULTISENSORY STIMULATION  
dc.subject
SSAEP  
dc.subject
SSVEP  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Multisensory Stimulation and EEG Recording below the Hair-Line: A New Paradigm on Brain Computer Interfaces  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-03-14T21:15:47Z  
dc.identifier.eissn
1558-0210  
dc.journal.volume
28  
dc.journal.number
4  
dc.journal.pagination
825-831  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Carmona Viglianco, Victor Luciano. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina  
dc.description.fil
Fil: Diez, Pablo Federico. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina  
dc.description.fil
Fil: Laciar Leber, Eric. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina  
dc.description.fil
Fil: Mut, Vicente Antonio. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina  
dc.journal.title
Ieee Transactions On Neural Systems And Rehabilitation Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9028135/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TNSRE.2020.2979684