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

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

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

Surface EMG signal - Feature Extraction

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

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 shi…

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

Basic code to use EMG-826 board

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.

Raw Surface-EMG signal classification using DL models

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

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.

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