BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.

A Python package for physyological's signals processing

A custom sEMG dataset developed with the Myo Armband for hand gesture classification

Preprocessing and classify EMG signals, using Tensorflow and Tensorflow Lite to deploy an AI model in a ESP32C3

🍯 A RxJava library to access Raw EMG data from your Myo 📈 (plus an Android companion App 📱)

Surface EMG signal - Feature Extraction

Electromyography (EMG) based convolutional neural network for hand gesture classification.

AI-powered gesture classification from EMG signals

EMG sensor signal sampling and DSP filtering on an embedded STM32 board with he use of miosix RTOS

Controlling your Overwatch character with electromyography sensors (EMG).

BMEN 3311 (Biomedical Signal Analysis): Reads in biomedical data from a patient’s files into a script and plots the data. Then take the discrete Fourier transforms of each signal then plot the frequency Spectrums. In addition, create a digital notch filter to remove the noise coming from mains power in the ECG signal without creating a phase shift due to filtering (zero-phase filtering), determine if the patient was tired during the recording of the EMG signal based on the frequency spectrum of the EMG signal, and determine the mental state of the patient during the recording of the EEG signal based on the frequency spectrum of the EEG signal. Finally, break down how much of the EEG signal is comprised of the four EEG wave components (Delta, Theta, Alpha and Beta), and display it in a bar graph.

Basic code to use EMG-826 board

A Final Project Program, Design and Build of Medical Rehabilitation Device for People with Paralysis on Hand Based on EMG Sensor

An advanced AI-powered robotic arm that uses EMG sensors and intelligent control to respond to muscle signals and recognize users for personalized, real-time interaction.

A complete MataLab laboratory for training and evaluating EMG HGR RL DQN and DDQN models.

No description provided.

Going Contactless with Electromyography sensor as part of Biomedical Instrumentation project.

Classification of EMG Signal Using Convolution Neural Network (Sliding Window Technique, Root Mean Square , Fourier Transform)

How to get Envelope Extraction from EMG signals generated from Myo Armband sensors. The EMG signal comes from 7 different hand movements. This digital signal processing can be used to determine the movement of the robotic arm to be made.

Using 2D and 3D AUC diagrams we provide improved detection accuracy of Parkinson's disease

Raw Surface-EMG signal classification using DL models

EMG-Controlled Cooperative Game made in Unity 2D with Cometa Wireless EMG Devices.

Tide - Torch Integrated Data Engine - a comprehensive framework for time series data processing

EMG signal based Gesture Classification and Person Identification using CapgMyo dataset

A modular, open-source prosthetic hand project designed for accessibility, affordability, and customizability. This repository provides hardware designs, firmware, and software tools to enable rapid prototyping and development of advanced prosthetic hands. Ideal for researchers, makers, and anyone interested in assistive technology innovation.

Software files for the DIYEMG kit

Digital Signal Processing

EEG Signal Processing & Enhancement tool using Tkinter GUI. It performs bandpass filtering, EMG noise reduction via Wavelet Transform, and Savitzky-Golay smoothing. Supports EDF file input/output, visualization, and SNR calculation. Processed signals can be saved in EDF format. See README.md for details.

Full-stack 6-ch dry-electrode sEMG wearable (ESP32/BLE, 1 kHz/ch, JSON presets) with DC removal + HPF/LPF + Kalman DSP and dual-path gesture control (Amplitude thresholds + 6-ch Radar-shape matching) + Flutter app; SNR>=8 dB, latency<=80-100 ms, >=85% online (4 grips)