Stress Classification from ECG Signals Using Vision Transformer

1. 1Transform raw ECG data into 2D spectrograms using short time Fourier transform (STFT)
2. 2Divide spectrograms into segments for input into Vision Transformer
3. 3Train Vision Transformer model for multilevel stress assessment
4. 4Evaluate model performance using relevant metrics

Data scientists and AI engineers can benefit from this research to develop more accurate stress assessment models, while healthcare professionals can use these models to improve patient care

💡 Transforming ECG data into 2D spectrograms enables effective use of Vision Transformers for stress assessment

🔍 Vision Transformers for stress classification from ECG signals