Vision transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals …
We present an unsupervised domain adaptation approach for ECG arrhythmia classification that generalizes across different databases and lead configurations without requiring …
We propose a multilevel stress assessment framework that fuses ECG signals with contextual data from a virtual reality environment. The system classifies multiple levels of …