Key result
A wearable single-channel EEG instrument using standard machine learning classifiers achieved >90% accuracy in detecting human stress in real time.
Why the study?
A highly wearable single-channel instrument using off-the-shelf components and dry electrodes was developed to detect human stress in real time via frontal asymmetry EEG monitoring.
Does a wearable single-channel EEG instrument accurately detect human stress in real time?
Population
Human subjects
Comparison
Single-channel wearable EEG instrument vs triple metrological references
Design
Metrological characterization and machine learning classification study
Authors
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Wearable single-channel EEG may enable real-time stress detection; leaves open validation in clinical populations.
Does a wearable single-channel EEG instrument accurately detect human stress in real time?
A novel wearable single-channel EEG instrument demonstrated over 90% accuracy in detecting human stress in real time using machine learning classifiers.
Arpaïa et al. (2020) studied Stress. Wearable single-channel EEG instrument vs. Standardized stress tests, observational questionnaires, and performance measurements was evaluated on Accuracy in classifying each 2-s epoch of EEG acquired from stressed subjects. A wearable single-channel EEG instrument using standard machine learning classifiers achieved >90% accuracy in detecting human stress in real time.
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