ArticleFrontiers in human neuroscience2017
Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Gamma-Band Auditory Steady-State Response and Attention: A Systemic Review.Brain sciences · 2024Review
- Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.Human factors · 2023Article
- Gamma music: a new acoustic stimulus for gamma-frequency auditory steady-state response.Frontiers in human neuroscience · 2023Article
- The Full Informational Spectral Analysis for Auditory Steady-State Responses in Human Brain Using the Combination of Canonical Correlation Analysis and Holo-Hilbert Spectral Analysis.Journal of clinical medicine · 2022Article
- The Cycling Brain in the Workplace: Does Workload Modulate the Menstrual Cycle Effect on Cognition?Frontiers in behavioral neuroscience · 2022Article
- Validation of Soft Multipin Dry EEG Electrodes.Sensors (Basel, Switzerland) · 2021Article
- Selective Attention Measurement of Experienced Simultaneous Interpreters Using EEG Phase-Locked Response.Frontiers in human neuroscience · 2021Article
- Visual load does not decrease the auditory steady-state response to 40-Hz amplitude-modulated tones.Psychophysiology · 2020Article
- [Feasibility analysis of new dry electrode EEG sleep monitoring].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2020Article
- Cerebral cortical networking for mental workload assessment under various demands during dual-task walking.Experimental brain research · 2019Article
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4 authors.
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Abstract
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.
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