Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
🦾 Detect hand movements using EMG signals with EMD-CCT feature extraction and a Transformer model for accurate gesture classification.
Python library for real-time gait modulation prediction using multimodal neural and movement data (LFP, EEG, IMU, EMG) — designed for closed-loop DBS systems in Parkinson’s disease.
Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.
NeuroRVQ: Multi-Scale EEG Tokenization for Generative Large Brainwave Models
AI-powered gesture classification from EMG signals
Tools and demos for working with EMG data from intan using python
MyoVerse , the research library for kinematics, kinetics, and everything else you can think of that has to do with EMG and AIs.
An easy-to-use app that provides 1) interactive visualization of EEG, EMG, and/or Norepinephrine recordings of mice, 2) automated sleep scoring, 3) allows user annotation or correction, 4) post-sleep-scoring statistics about sleep scores.
Python API for Mentalab biosignal aquisition devices
Pythonic wrapper library for Cometa sEMG Waveplus devices
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Grip is a functional robotic hand controlled by muscle activity and/or neural signals. Using non-invasive sensors (such as surface EMG), the system translates user intent into precise hand movements. The project combines mechanical design, embedded systems, and AI-driven gesture recognition for intuitive and natural control
Created a Solution for Anveshan IEEE hackathon. PS -- WE WONN ^_^
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