Multi-resolution time-frequency analysis turns sleep and activity sensor data into spike trains that predict symptom onset and trigger earlier alerts.
Flexible intra-oral EOG electrodes in a segmented mouthguard improve sleep-stage monitoring accuracy without discomfort or sensor displacement.
Objective eye tracking in real 3D vergence, saccade, and reading tests helps detect ocular motor abnormalities and guide rehabilitation.
Continuous force and acceleration capture during catching replaces two-point timing with reproducible reaction curves and objective grip assessment.
EEG signals from multiple brain regions are weighted into valence, arousal, fatigue, and preference indexes for objective projection evaluation.
RGB fluctuation analysis in facial video detects blood flow and autonomic activity without far-infrared cameras, lowering system cost.
Contrastive latent encoding helps EEG emotion models generalize across subjects without test-set retraining, improving robustness and accuracy.
Segmented pregnancy tracking interfaces cut key presses, simplify notification setup, and conserve battery life on electronic devices.