electromyography

There are 37 repositories under electromyography topic.

  • JingweiToo/EMG-Feature-Extraction-Toolbox

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

    Language:MATLAB893222

  • axopy/pytrigno

    Simple Python interface to the Delsys wireless EMG system

    Language:Python364524
  • openhdemg

    GiacomoValliPhD/openhdemg

    A powerful toolbox for the analysis of HD-EMG recordings

    Language:Python311104

  • keevindoherty/FeatureExtractionToolbox

    A feature extraction toolbox for EMG signals written in MATLAB

    Language:Matlab304013

  • The-Motor-Unit/EMGdecomPy

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

    Language:Jupyter Notebook2324313

  • x-labs-xyz/awesome-emg-data

    A list of public EMG datasets and their papers, with a focus on raw EMG signals.

    22202
  • TMSAnalysisToolBox

    CunninghamLab/TMSAnalysisToolBox

    Transcranial Magnetic Stimulation (TMS) Analysis Toolbox: A user friendly open source software for basic and advanced analysis of TMS related outcomes

    Language:MATLAB19522

  • GallVp/emgGO

    A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

    Language:MATLAB15475

  • aljazfrancic/myo-readings-dataset

    Myo armband electromyographic readings dataset for various wrist gestures

    Language:Jupyter Notebook142143

  • Josef-Djarf/sEMG-Sim

    Source code for multiple parameter modelling of synthetic electromyography data.

    Language:Python13104

  • resurfemg-org/ReSurfEMG

    An open source library for analysis of respiratory EMG

    Language:Jupyter Notebook1321746

  • playAbilityTech/EMG-VR-Adaptive-Controller

    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

    Language:C++11102

  • upsidedownlabs/DIY-Muscle-BioAmp-Shield

    A Do It Yourself (DIY) Electromyography (EMG) shield for learning neauroscience with ease.

    Language:C++9113

  • felixmaldonadoos/Facial-EMG-and-Kinematics

    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.

    Language:Jupyter Notebook6102
  • EMG

    informacja/EMG

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

    Language:C++5301

  • addu390/myro

    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 💪🏼

    Language:Python3000

  • dngvmnh/EMusicPulse

    EMusicPulse utilizes electromyography technology to enable individuals, including those with disabilities, to create music through muscle signals, promoting accessibility, inclusivity, and technological empowerment in music creation and rehabilitation.

    Language:CSS3102

  • hongnhung910/EMG-Signal-Android-Application

    Language:Java3101

  • Jakubach/trigno_capture

    Software package and ROS wrapper of Delsys wireless EMG interface

    Language:Python3203

  • AlasdairMcLean/NeuroMeasurePublic

    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 AGPL 3.0 license. All modifications, alterations, and reproductions of any part of this project are subject to the terms of the AGPL 3.0 license. For more information regarding the terms of the AGPL 3.0 license, the software, and project as a whole, refer to the README.md file found in the top level of the repository.

    Language:MATLAB2270

  • Curovearth/Contactless-with-EMG

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

    Language:C++2201

  • henkkagee/EMG

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

    Language:Python2201

  • TangentQ/EMG

    Electromyography / Signal Analysis Project

    Language:Python2621

  • AlexLamson/JINS-blink

    Detect blinks using the J!NS MEME glasses

    Language:Python122

  • Anatr1/egovision-EMG-action-classifier

    Action classifier from first-person videos and EMG data recordings from arm muscles activations

    Language:Python1000

  • Natspy/BioSignalsProcessing

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

    Language:Python1100

  • Tech-Gene/Principal-Component-Analysis--Electromyography-Data

    Principal Analysis on Hand movement Electromygraphy

    Language:Jupyter Notebook1100

  • wendtke/psyphr

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

    12561

  • abrunfel/VR-EXO-with-Stroke

    VR reaching task with exoskeleton loading. Data processing scripts in MATLAB and R

    Language:MATLAB0100

  • ChenshuLiu/NeuroMT

    NeuroMT: Neurodegenerative Monitoring and Therapy Device Using EMG and TENS

    Language:Python0100

  • fredzhang7/Proesthetic-Hand

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

    Language:C++0100

  • gijsschumacher/psychophys

    Replication scripts for "validity and robustness of femg in political science" paper

    Language:R0100

  • John-E-Fleming/Parkinsons_Motor_Network_Model

    Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy is implemented in the model to control two biomarkers of Parkinsonian tremor and motor impairment symptoms.

    Language:Python0100

  • kaylaque/laboratory-emg

    Signal Processing EMG Open-Close Hand

    Language:Jupyter Notebook0100

  • jonpas/EMGProc

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

    Language:Python30

  • nthnn/MusculoSense

    Electromyography sensor module using INA128 OpAmp.

    10