We are pleased to announce that BIDS Extension Proposal 42 - Electromyogrpahy is open for community review!
https://github.com/bids-standard/bids-specification/discussions/2219
The review period is open from September 29 - October 10.
#bids #neuroimaging #electromyography #emg
Thrilled to share that my abstract “Effects of Grip Variation on Muscle Excitation and Spatial Activation Patterns During the Lat Pull-Down: A Preliminary HD-sEMG Study” was accepted as an Oral Communication at SISMeS 2025 🎉
#HDsEMG #Electromyography #ResistanceTraining #LatPullDown #SportsScience #SISMeS2025
SteveKnows - "Meta's Next-Gen Leak! Quest 3 Enhancements & Games Coming soon (& More!)." #EMG #ElectroMyoGraphy #Surface_Electromyography #smartglasses #MetaCeleste #SadlyItsBradley #Luna #HeadsUpDisplay #HUD https://youtube.com/watch?v=jdsyKvb4NJE&si=heqr_ia-TyntBqe-
Matteo311 - "The VR Industry is about to CHANGE." #GreenHell #PlantCultivationSystem #Meta_XR_Glasses #EMG_Wristband #ElectroMyoGraphy #RIP_Dr_Pio_Mangion https://youtube.com/watch?v=0oW2ZRs43LI&si=Wl99reAUw9AB9jsv
Archery session fatigue [epub/xml/pdf 12pp] #archery #SportsMedicine #MuscleFatigue #electromyography https://www.mdpi.com/2076-3417/14/14/6109
2 papers out in a day, wow! https://ieeexplore.ieee.org/document/10086573 #algorithms #electromyography #motorcontrol
Hey Mastodon, I’m trying to help find someone doing research involving human facial EMG recording. (e.g. levator labii and corrugator signals) You know anyone? Heard any rumors?
#EMG
#Electromyography
Please encourage your early-career colleagues to apply for this award! If you are an early-career psychophysiology researcher, please consider applying. Details are presented below. #psychophysiology #erp #eeg #cardiovascular #electromyography #fmri
Join us on Wednesday, January 19 at noon Pacific as we kick off the 2022 Hack Chat season with the Electromyography Hack Chat with hut!
It's one of the simplest acts most people can perform, but just wiggling your finger is a vastly complex process under the hood. Once you consciously decide to move your digit, a cascade of electrochemical reactions courses from the brain down the spinal cord and along nerves to reach the muscles fibers of the forearm, where still more reactions occur to stimulate the muscle fibers and cause them to contract, setting that finger to wiggling.
The electrical activity going on inside you while you're moving your muscles is actually strong enough to make it to the skin, and is detectable using electromyography, or EMG. But just because a signal exists doesn't mean it's trivial to make use of. Teasing a usable signal from one muscle group amidst the noise from everything else going on in a human body can be a chore, but not an insurmountable one, even for the home gamer.
To make EMG a little easier, our host for this Hack Chat, hut, has been hard at work on PsyLink, a line of prototype EMG interfaces that can be used to detect muscle movements and use them to control whatever you want. In this Hack Chat, we'll dive into EMG in general and PsyLink in particular, and find out how to put our muscles to work for something other than wiggling our fingers.
Our Hack Chats are live community events in the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, January 19 at 12:00 PM Pacific time. If time zones have you tied up, we have a handy time zone converter.
#hackadaycolumns #actionpotential #electromyography #emg #hackchat #muscle #nerve #neural #phsyiology
PsyLink An Open Source Neural Interface For Non-Invasive EMG
We don't see many EMG (electromyography) projects, despite how cool the applications can be. This may be because of technical difficulties with seeing the tiny muscular electrical signals amongst the noise, it could be the difficulty of interpreting any signal you do find. Regardless, [hut] has been striving forwards with a stream of prototypes, culminating in the aptly named 'Prototype 8'
The current prototype uses a main power board hosting an Arduino Nano 33 BLE Sense, as well as a boost converter to pump up the AAA battery to provide 5 volts for the Arduino and a selection of connected EMG amplifier units. The EMG sensor is based around the INA128 instrumentation amplifier, in a pretty straightforward configuration. The EMG samples along with data from the IMU on the Nano 33 BLE Sense, are passed along to a connected PC via Bluetooth, running the PsyLink software stack. This is based on Python, using the BLE-GATT library for BT comms, PynPut handing the PC input devices (to emit keyboard and mouse events) and tensorflow for the machine learning side of things. The idea is to use machine learning from the EMG data to associate with a specific user interface event (such as a keypress) and with a little training, be able to play games on the PC with just hand/arm gestures. IMU data are used to augment this, but in this demo, that's not totally clear.
An earlier prototype of the PsyLink.
All hardware and software can be found on the project codeberg page, which did make us double-take as to why GnuRadio was being used, but thinking about it, it's really good for signal processing and visualization. What a good idea!
Obviously there are many other use cases for such a EMG controlled input device, but who doesn't want to play Mario Kart, you know, for science?
Checkout the demo video (embedded below) and you can see for yourself, just be aware that this is streaming from peertube, so the video might be a little choppy depending on your local peers. Finally, if Mastodon is your cup of tea, here's the link for that. Earlier projects have attempted to dip into EMG before, like this Bioamp board from Upside Down Labs. Also we dug out an earlier tutorial on the subject by our own [Bil Herd.]
#medicalhacks #analog #arduino #electromyography #emg #gnuradio #instrumentationamp #opamp #python
