A freeware application to store, process, and present Gait Analysis data.
This project uses time-domain EMG signal features to classify gender (male/female) via various machine learning models. It explores multiple resampling techniques (SMOTE, ADASYN, etc.) to handle class imbalance and compares model performance using cross-validation and test accuracy. Visual plots a
DNN for the pattern recognition of EMG Data
An implementation of real-time HD-sEMG signals decomposition for the Muovi+ and SyncStation+ system from OT Bioelettronica.
Estimates 3D hand landmarks from EMG data
Source code for publication on context-informed incremental learning in regression-based myoelectric control.
Biosignal Processing in Python
EMG-Based Hand Movement Detection using EMD-CCT feature extraction with a Transformer model.
Reading Spike2 files for electromiography and preprocessing them
Action classifier from first-person videos and EMG data recordings from arm muscles activations
NeuroRVQ: Multi-Scale EEG Tokenization for Generative Large Brainwave Models
Myo-armband and "intelligent speech" based on Gesture Recognition.
An EMG-controlled interface for BCI calibration with a gamification mode powered via Brainflow
A Python library for signal processing with PyTorch. Useful for machine learning.
SigClean is a comprehensive Python library for cleaning and preprocessing biomedical signals including ECG, EMG, EEG, and other physiological signals. It provides a complete toolkit for signal filtering, artifact removal, noise reduction, and signal quality assessment.
Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation
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