A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs

PhyAAt: Physiology of Auditory Attention - Processing Library

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data

Python code for SparsEDA EDA/GSR decomposition method