EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms

Detection of ECG events (R wave, T wave) for the preprocessing of the heartbeat evoked potential

Work for the Andrew Ng online ML class

The BrainBeats toolbox, implemented as an EEGLAB plugin, allows joint processing and analysis of EEG and cardiovascular signals (ECG/PPG).

modified MATB

2-Class Motor imagery classification using various ML models.

Electrode localization using 3D head image. EEGLAB plug-in using Fieldtrip toolbox

Code repository for the paper Towards Pocketable Labs for Everyone: SynchronizedMulti-sensor Data Streaming and Recording on Smartphones

These are the scripts for the paper "Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation"