A flexible analytic wavelet transform and ensemble bagged tree model for electroencephalogram-based meditative mind-wandering detection
Healthcare Analytics December 7, 2023 Ajay Dadhich, Jaideep Patel, Rovin Tiwari et al.
Mind-wandering (MW) is when an individual’s concentration drifts away from the task or activity. Researchers found a greater variability in electroencephalogram (EEG) signals due to MW. Collecting more nuanced information from raw EEG data to examine the harmful effects of MW is time-consuming. This study proposes a multi-resolution assessment of EEG signals using the flexible analytic wavelet...
DOI: 10.1016/j.health.2023.100286 (opens in new tab)
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Mind-wandering
Electroencephalogram signals
Machine learning
Classification
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