Diagnosis of mental workload using electrocardiogram (ECG) signals & Deep Learning.
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Updated
Oct 31, 2022 - Jupyter Notebook
Diagnosis of mental workload using electrocardiogram (ECG) signals & Deep Learning.
Passive Brain-Computer Interface System for Mental Workload Estimation - Code and Data.
Binary classification of mental workload from 62-channel EEG data using FFT-based spectral features. Compares a from-scratch logistic regression (91.39%) with a 1D CNN (93.89%), evaluated via 5-fold cross-validation.
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