A feature extraction toolbox for EMG signals written in MATLAB

Detect blinks using the J!NS MEME glasses

Electromyography / Signal Analysis Project

Code, slides and raw data for talk presented at the satRday Conference in Belgrade on October 27, 2018 (https://belgrade2018.satrdays.org/).

Simple Python interface to the Delsys wireless EMG system

legacy repo for R package suite for psychophysiological data; see github.com/psyphr-dev

Python, PyQt5, microcontroller & electrode setup to measure EMG signals and test closed-loop (prosthetic) sensory feedback.

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

Public and open-source version of a 2018 project using the combination of transcranial magnetic stimulation (TMS) and electromyography (EMG) in order to produce motor maps of the motor cortex of the human brain and represent them on 2 and 3 dimensional forms of an MRI Brain image. This project, source code, and all else within is governed by the…

Analysis of bioelectrical signals recorded in the Laboratory of Bioelectrical Signals.

Analyze data from surface EMG sensors, accelerometer, and gyroscope to recognize several hand-motion patterns, which can then be associated with a specific pattern in the 3D printed prosthetic arm 💪🏼

Studying facial muscle activation and their relationship with facial kinematics via facial landmarks. Utilizes an Arduino to generate a square wave with a specific duty cycle and frequency and synchronously trigger EMG and image acquisition.

Electromyography Processing application at Neuro, Nano and Quantum Computing (slo. Nevro, Nano in Kvantno Računalništvo)

A package for decomposing multi-channel EMG signals into individual motor unit activity.

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

Software package and ROS wrapper of Delsys wireless EMG interface

A very cheap and affordable prosthetic hand built with strings, plastics, and electromyography sensors

Application collecting sEMG data from muscles has been written in C++ Signal feature extraction processing in Matlab

DIY EMG VR Controller for Oculus Quest 2: low-cost, user-friendly electromyography-based control system with Arduino, MyoWare sensors, and 9gr servo motors. This beginner-oriented project offers a simple one-button setup to overcome input emulation limitations on Meta Quest and SteamVR devices, enabling virtual reality gaming for all #a11y