We use Continous wavelet transform to extract these frequency and time-based features using morlet wavelet. CNN for Classification: The extracted features are used as input to a Convolutional Neural ...

Continuous Wavelet Transform (CWT) is applied on each of the EEG channels of each participant to obtain time-frequency (TF) based characteristics. A Vision Transformer (ViT) based model is then ...

This project presents a deep learning-based approach to detect cardiac arrhythmias from ECG signals. The method involves extracting features using wavelet transformations, which are then fed into a ...