Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study

Brain-computer interfaces (BCIs), independent of the brain's normal output pathways, are attracting an increasing amount of attention as devices that extract neural information. As a typical type of BCI system, the steady-state visual evoked potential (SSVEP)-based BCIs possess a high signal-to...

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Main Authors: Yawei Zhao, Jiabei Tang, Yong Cao, Xuejun Jiao, Minpeng Xu, Peng Zhou, Dong Ming, Hongzhi Qi
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-02-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00079/full
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author Yawei Zhao
Jiabei Tang
Yong Cao
Xuejun Jiao
Minpeng Xu
Peng Zhou
Dong Ming
Hongzhi Qi
author_facet Yawei Zhao
Jiabei Tang
Yong Cao
Xuejun Jiao
Minpeng Xu
Peng Zhou
Dong Ming
Hongzhi Qi
author_sort Yawei Zhao
collection DOAJ
description Brain-computer interfaces (BCIs), independent of the brain's normal output pathways, are attracting an increasing amount of attention as devices that extract neural information. As a typical type of BCI system, the steady-state visual evoked potential (SSVEP)-based BCIs possess a high signal-to-noise ratio and information transfer rate. However, the current high speed SSVEP-BCIs were implemented with subjects concentrating on stimuli, and intentionally avoided additional tasks as distractors. This paper aimed to investigate how a distracting simultaneous task, a verbal n-back task with different mental workload, would affect the performance of SSVEP-BCI. The results from fifteen subjects revealed that the recognition accuracy of SSVEP-BCI was significantly impaired by the distracting task, especially under a high mental workload. The average classification accuracy across all subjects dropped by 8.67% at most from 1- to 4-back, and there was a significant negative correlation (maximum r = −0.48, p < 0.001) between accuracy and subjective mental workload evaluation of the distracting task. This study suggests a potential hindrance for the SSVEP-BCI daily use, and then improvements should be investigated in the future studies.
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spelling doaj.art-9d49b1e954324fa3aba1e0e38550d8572022-12-22T02:48:14ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2018-02-011210.3389/fnins.2018.00079267158Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline StudyYawei Zhao0Jiabei Tang1Yong Cao2Xuejun Jiao3Minpeng Xu4Peng Zhou5Dong Ming6Hongzhi Qi7Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaDepartment of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaNational Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, ChinaNational Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, ChinaDepartment of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaDepartment of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaDepartment of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaDepartment of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaBrain-computer interfaces (BCIs), independent of the brain's normal output pathways, are attracting an increasing amount of attention as devices that extract neural information. As a typical type of BCI system, the steady-state visual evoked potential (SSVEP)-based BCIs possess a high signal-to-noise ratio and information transfer rate. However, the current high speed SSVEP-BCIs were implemented with subjects concentrating on stimuli, and intentionally avoided additional tasks as distractors. This paper aimed to investigate how a distracting simultaneous task, a verbal n-back task with different mental workload, would affect the performance of SSVEP-BCI. The results from fifteen subjects revealed that the recognition accuracy of SSVEP-BCI was significantly impaired by the distracting task, especially under a high mental workload. The average classification accuracy across all subjects dropped by 8.67% at most from 1- to 4-back, and there was a significant negative correlation (maximum r = −0.48, p < 0.001) between accuracy and subjective mental workload evaluation of the distracting task. This study suggests a potential hindrance for the SSVEP-BCI daily use, and then improvements should be investigated in the future studies.http://journal.frontiersin.org/article/10.3389/fnins.2018.00079/fullbrain–computer interfaceSSVEP-BCImental workloadn-backdistracting task
spellingShingle Yawei Zhao
Jiabei Tang
Yong Cao
Xuejun Jiao
Minpeng Xu
Peng Zhou
Dong Ming
Hongzhi Qi
Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
Frontiers in Neuroscience
brain–computer interface
SSVEP-BCI
mental workload
n-back
distracting task
title Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
title_full Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
title_fullStr Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
title_full_unstemmed Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
title_short Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
title_sort effects of distracting task with different mental workload on steady state visual evoked potential based brain computer interfaces an offline study
topic brain–computer interface
SSVEP-BCI
mental workload
n-back
distracting task
url http://journal.frontiersin.org/article/10.3389/fnins.2018.00079/full
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