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Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation

In this work, mechanical vibrotactile stimulation was applied to subjects’ left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on e...

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Detalles Bibliográficos
Autores principales: Yao, Lin, Meng, Jianjun, Zhang, Dingguo, Sheng, Xinjun, Zhu, Xiangyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675213/
https://www.ncbi.nlm.nih.gov/pubmed/23762253
http://dx.doi.org/10.1371/journal.pone.0064784
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author Yao, Lin
Meng, Jianjun
Zhang, Dingguo
Sheng, Xinjun
Zhu, Xiangyang
author_facet Yao, Lin
Meng, Jianjun
Zhang, Dingguo
Sheng, Xinjun
Zhu, Xiangyang
author_sort Yao, Lin
collection PubMed
description In this work, mechanical vibrotactile stimulation was applied to subjects’ left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS. The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%. Comparative experiments with motor imagery (with and without presence of stimulation) were also carried out, which further showed the feasibility of selective sensation as an alternative BCI task complementary to motor imagery. Specifically there was significant improvement ([Image: see text]) from near 65% in motor imagery (with and without presence of stimulation) to above 80% in selective sensation on some subjects. The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system.
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spelling pubmed-36752132013-06-12 Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation Yao, Lin Meng, Jianjun Zhang, Dingguo Sheng, Xinjun Zhu, Xiangyang PLoS One Research Article In this work, mechanical vibrotactile stimulation was applied to subjects’ left and right wrist skins with equal intensity, and a selective sensation perception task was performed to achieve two types of selections similar to motor imagery Brain-Computer Interface. The proposed system was based on event-related desynchronization/synchronization (ERD/ERS), which had a correlation with processing of afferent inflow in human somatosensory system, and attentional effect which modulated the ERD/ERS. The experiments were carried out on nine subjects (without experience in selective sensation), and six of them showed a discrimination accuracy above 80%, three of them above 95%. Comparative experiments with motor imagery (with and without presence of stimulation) were also carried out, which further showed the feasibility of selective sensation as an alternative BCI task complementary to motor imagery. Specifically there was significant improvement ([Image: see text]) from near 65% in motor imagery (with and without presence of stimulation) to above 80% in selective sensation on some subjects. The proposed BCI modality might well cooperate with existing BCI modalities in the literature in enlarging the widespread usage of BCI system. Public Library of Science 2013-06-06 /pmc/articles/PMC3675213/ /pubmed/23762253 http://dx.doi.org/10.1371/journal.pone.0064784 Text en © 2013 Yao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yao, Lin
Meng, Jianjun
Zhang, Dingguo
Sheng, Xinjun
Zhu, Xiangyang
Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title_full Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title_fullStr Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title_full_unstemmed Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title_short Selective Sensation Based Brain-Computer Interface via Mechanical Vibrotactile Stimulation
title_sort selective sensation based brain-computer interface via mechanical vibrotactile stimulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675213/
https://www.ncbi.nlm.nih.gov/pubmed/23762253
http://dx.doi.org/10.1371/journal.pone.0064784
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