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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
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