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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2018-02-01
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Series: | Frontiers in Neuroscience |
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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. |
first_indexed | 2024-04-13T11:44:12Z |
format | Article |
id | doaj.art-9d49b1e954324fa3aba1e0e38550d857 |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-04-13T11:44:12Z |
publishDate | 2018-02-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neuroscience |
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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