Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking
Workload in the human brain can be a useful marker of internal brain state. However, due to technical limitations, previous workload studies have been unable to record brain activity via conventional electroencephalography (EEG) and magnetoencephalography (MEG) devices in mobile participants. In thi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-06-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00314/full |
| _version_ | 1819226130860736512 |
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| author | Yusuke Yokota Shingo Tanaka Akihiro Miyamoto Yasushi Naruse |
| author_facet | Yusuke Yokota Shingo Tanaka Akihiro Miyamoto Yasushi Naruse |
| author_sort | Yusuke Yokota |
| collection | DOAJ |
| description | Workload in the human brain can be a useful marker of internal brain state. However, due to technical limitations, previous workload studies have been unable to record brain activity via conventional electroencephalography (EEG) and magnetoencephalography (MEG) devices in mobile participants. In this study, we used a wearable EEG system to estimate workload while participants walked in a naturalistic environment. Specifically, we used the auditory steady-state response (ASSR) which is an oscillatory brain activity evoked by repetitive auditory stimuli, as an estimation index of workload. Participants performed three types of N-back tasks, which were expected to command different workloads, while walking at a constant speed. We used a binaural 500 Hz pure tone with amplitude modulation at 40 Hz to evoke the ASSR. We found that the phase-locking index (PLI) of ASSR activity was significantly correlated with the degree of task difficulty, even for EEG data from few electrodes. Thus, ASSR appears to be an effective indicator of workload during walking in an ecologically valid environment. |
| first_indexed | 2024-12-23T10:20:36Z |
| format | Article |
| id | doaj.art-3fbec94eb744494fa7eba88c436d44f7 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-23T10:20:36Z |
| publishDate | 2017-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-3fbec94eb744494fa7eba88c436d44f72022-12-21T17:50:42ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612017-06-011110.3389/fnhum.2017.00314254250Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during WalkingYusuke Yokota0Shingo Tanaka1Akihiro Miyamoto2Yasushi Naruse3Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka UniversityKobe, JapanSawamura Prosthetics and Orthotics Service Co., Ltd.Kobe, JapanSawamura Prosthetics and Orthotics Service Co., Ltd.Kobe, JapanCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka UniversityKobe, JapanWorkload in the human brain can be a useful marker of internal brain state. However, due to technical limitations, previous workload studies have been unable to record brain activity via conventional electroencephalography (EEG) and magnetoencephalography (MEG) devices in mobile participants. In this study, we used a wearable EEG system to estimate workload while participants walked in a naturalistic environment. Specifically, we used the auditory steady-state response (ASSR) which is an oscillatory brain activity evoked by repetitive auditory stimuli, as an estimation index of workload. Participants performed three types of N-back tasks, which were expected to command different workloads, while walking at a constant speed. We used a binaural 500 Hz pure tone with amplitude modulation at 40 Hz to evoke the ASSR. We found that the phase-locking index (PLI) of ASSR activity was significantly correlated with the degree of task difficulty, even for EEG data from few electrodes. Thus, ASSR appears to be an effective indicator of workload during walking in an ecologically valid environment.http://journal.frontiersin.org/article/10.3389/fnhum.2017.00314/fullworkloadelectroencephalogramauditory steady-state response (ASSR)n-back taskreal world recording |
| spellingShingle | Yusuke Yokota Shingo Tanaka Akihiro Miyamoto Yasushi Naruse Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking Frontiers in Human Neuroscience workload electroencephalogram auditory steady-state response (ASSR) n-back task real world recording |
| title | Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
| title_full | Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
| title_fullStr | Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
| title_full_unstemmed | Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
| title_short | Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
| title_sort | estimation of human workload from the auditory steady state response recorded via a wearable electroencephalography system during walking |
| topic | workload electroencephalogram auditory steady-state response (ASSR) n-back task real world recording |
| url | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00314/full |
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