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 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.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2017 |
---|---|
Erschienen: |
2017 |
Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
---|---|
Enthalten in: |
Frontiers in human neuroscience - 11(2017) vom: 11., Seite 314 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Yokota, Yusuke [VerfasserIn] |
---|
Links: |
---|
Themen: |
Auditory steady-state response (ASSR) |
---|
Anmerkungen: |
Date Revised 30.09.2020 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.3389/fnhum.2017.00314 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM27337172X |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM27337172X | ||
003 | DE-627 | ||
005 | 20231225001057.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2017 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3389/fnhum.2017.00314 |2 doi | |
028 | 5 | 2 | |a pubmed24n0911.xml |
035 | |a (DE-627)NLM27337172X | ||
035 | |a (NLM)28659780 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Yokota, Yusuke |e verfasserin |4 aut | |
245 | 1 | 0 | |a Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking |
264 | 1 | |c 2017 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 30.09.2020 | ||
500 | |a published: Electronic-eCollection | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a auditory steady-state response (ASSR) | |
650 | 4 | |a electroencephalogram | |
650 | 4 | |a n-back task | |
650 | 4 | |a real world recording | |
650 | 4 | |a workload | |
700 | 1 | |a Tanaka, Shingo |e verfasserin |4 aut | |
700 | 1 | |a Miyamoto, Akihiro |e verfasserin |4 aut | |
700 | 1 | |a Naruse, Yasushi |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Frontiers in human neuroscience |d 2007 |g 11(2017) vom: 11., Seite 314 |w (DE-627)NLM184031621 |x 1662-5161 |7 nnns |
773 | 1 | 8 | |g volume:11 |g year:2017 |g day:11 |g pages:314 |
856 | 4 | 0 | |u http://dx.doi.org/10.3389/fnhum.2017.00314 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 11 |j 2017 |b 11 |h 314 |