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...

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Autores principales:	Lin Yao, Jianjun Meng, Dingguo Zhang, Xinjun Sheng, Xiangyang Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/544f81093e374a799bed7642391ca0f8
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spelling	oai:doaj.org-article:544f81093e374a799bed7642391ca0f82021-11-18T07:42:49ZSelective sensation based brain-computer interface via mechanical vibrotactile stimulation.1932-620310.1371/journal.pone.0064784https://doaj.org/article/544f81093e374a799bed7642391ca0f82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23762253/?tool=EBIhttps://doaj.org/toc/1932-6203In 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 ([Formula: 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.Lin YaoJianjun MengDingguo ZhangXinjun ShengXiangyang ZhuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e64784 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lin Yao Jianjun Meng Dingguo Zhang Xinjun Sheng Xiangyang Zhu Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.
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 ([Formula: 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.
format	article
author	Lin Yao Jianjun Meng Dingguo Zhang Xinjun Sheng Xiangyang Zhu
author_facet	Lin Yao Jianjun Meng Dingguo Zhang Xinjun Sheng Xiangyang Zhu
author_sort	Lin Yao
title	Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.
title_short	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_sort	selective sensation based brain-computer interface via mechanical vibrotactile stimulation.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/544f81093e374a799bed7642391ca0f8
work_keys_str_mv	AT linyao selectivesensationbasedbraincomputerinterfaceviamechanicalvibrotactilestimulation AT jianjunmeng selectivesensationbasedbraincomputerinterfaceviamechanicalvibrotactilestimulation AT dingguozhang selectivesensationbasedbraincomputerinterfaceviamechanicalvibrotactilestimulation AT xinjunsheng selectivesensationbasedbraincomputerinterfaceviamechanicalvibrotactilestimulation AT xiangyangzhu selectivesensationbasedbraincomputerinterfaceviamechanicalvibrotactilestimulation
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Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.

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