The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data
Open accessAbstract
Investigations of the neuro-physiological correlates of mental loads, or states, have attracted significant attention recently, as it is particularly important to evaluate mental fatigue in drivers operating a motor vehicle. In this research, we collected multimodal EEG/ECG/EOG and fNIRS data simultaneously to develop algorithms to explore neuro-physiological correlates of drivers' mental states. Each subject performed simulated driving under two different conditions (well-rested and sleep-deprived) on different days. During the experiment, we used 68 electrodes for EEG/ECG/EOG and 8 channels for fNIRS recordings. We extracted the prominent features of each modality to distinguish between the well-rested and sleep-deprived conditions, and all multimodal features, except EOG, were combined to quantify mental fatigue during driving. Finally, a novel driving condition level (DCL) was proposed that distinguished clearly between the features of well-rested and sleep-deprived conditions. This proposed DCL measure may be applicable to real-time monitoring of the mental states of vehicle drivers. Further, the combination of methods based on each classifier yielded substantial improvements in the classification accuracy between these two conditions.
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Cited by
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
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A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
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Metadata
- Authors
- Ahn, S., Nguyen, T., Jang, H., Kim, J. G., & Jun, S. C.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2016-05-13
- Volume
- 10
- Pages
- 219-219
- ISSN
- 1662-5161 (ISSN-L)
- OpenAlex
- W2371731424
- Cited by
- 254
- References
- 10
- FWCI
- 25.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ahn, S., Nguyen, T., Jang, H., Kim, J. G., & Jun, S. C. (2016). Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2016.00219
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