openhdemg
@openhdemg
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A free and open-source framework for the analysis of motor unit properties from High-Density EMG recordings #HDEMG #Python
Joined July 2023
🧐 Are you attending the #ISB2025 in Stockholm? Then, don’t miss the ISEK workshop on HDsEMG, from recording to decomposition and analysis. We will also be there to cover the analysis part! 🇸🇪
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The code runs, the docs exist, the bugs get fixed. openhdemg maintainers make it happen, quietly, consistently. #MaintainerMonth is to thank them 💕
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🛌 21 days of bed rest alter motor unit discharge rates. Interestingly, the findings obtained from HDsEMG have been confirmed also by intramuscular EMG. Analyses done with the @openhdemg library 💻 🔥.
Motor unit discharge rate was reduced after bed rest at both 25% and 50% MVC, as assessed by HDsEMG (data analyzed using @openhdemg). Validation with iEMG 🪡 confirmed these findings. Disuse affects neural drive, not just muscle!.🧵3/8
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🛎️ New publication using openhdemg ⬇️ . 📄 Effect of foot position during plantarflexion on the neural drive to the gastrocnemii in runners with Achilles tendinopathy. 🔎 We encourage you to read this nice work!
Our new paper is Open Access click the link and download it now. Effect of foot position during plantarflexion on the neural drive to the gastrocnemii in runners with Achilles tendinopathy. @orssattolucas @ActivateGlutes @gabrielstrajano . 1/n.
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Obviously, there are other improvements to the library. Check for the release notes on our website to discover them! 🕵️♀️ . And… try the new release ASAP!!.
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🚀 New release v0.1.2 is online! 🚨 . Have a file like this and you don’t know how to process it?. Use the new EMGFileSectionsIterator class to quickly segment the file in multiple sections, apply specific functions to each of them and to gather the results in a few lines of code
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🧠 If you want to learn about HDsEMG data collection, decomposition and analysis from the experts, this is the right opportunity! And it’s free 💵.
🚨 Registration Open! 🚨. Join us in Brescia 🇮🇹 for the INcEPTION Winter School 2025 on HDsEMG!. 📅 10th–14th March 2025.📍 In-person only | Limited spots!.✅ No registration fee. Don't miss this opportunity! Find further details here:
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📬 Our first newsletter has just been delivered!. Haven’t signed up yet? Share your email with us to stay updated on all our latest news and updates!
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🆕 Release v0.1.1 is now live 🆕. Increased flexibility and customizability of the library's functions, improved robustness through a comprehensive set of testing functions, and extended support for Python versions 3.12 and 3.13. improved and fully customisable plotting ⬇️
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🚀 We reached more than 1,000 downloads on PyPI!. An enormous THANK YOU to our incredible community of contributors and supporters. Let’s keep developing openhdemg together! 💪. #opensource #openscience
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RT @ritpau: It was awesome having you with us again mate 🤩😊!.We (as always) learned a lot! . Also, it was very good digging a bit deeper in….
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Showcasing the features of our latest (0.1.0) release at the @ISEKCongress workshop!. Join our newsletter to receive the recording of the presentation and stay up to date with the openhdemg evolution:
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RT @ISEKCongress: #ISEK2024 workshop. Simplified analysis of motor unit properties with @openhdemg. 🧑💻 By the end of this workshop, partic….
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What better place than the Swiss reproducibility conference to showcase openhdemg?.#openscience #reproducibility.
We had a blast on day 1 of the 1st Swiss #reproducibility conference organized by @SwissRN and @snsf_ch . Great talks and lively discussions!. Tomorrow we will host 2 workshops, join us if you are around: @DXeniMRI @MriFranz @ritpau
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As part of our dissemination activities, @ritpau will present the openhdemg project at the Swiss open science and reproducibility congress next week. No better place to share an open-source community-based project!.
⚠️ @openhdemg news ⚠️. 📅Come visit us at the @SwissRN congress in Zurich next Monday (10.06). ✅Learn about openhdemg and reproducibility . 🖥️Congress program: . @AndreCasolo @gregorypearcey @Giusepp40676177 @DrewBeauchamp @giacomo_valli.
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Many of the improvements introduced in this release have been driven by your invaluable feedback. As a community, we always appreciate it and grow with it. Please get in touch with us anytime this is need or use our GitHub discussion forum at
github.com
Explore the GitHub Discussions forum for GiacomoValliPhD openhdemg. Discuss code, ask questions & collaborate with the developer community.
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This version is fully backward compatible (with v0.1.0-beta.3) although the PNR (pulse to noise ratio) estimation might slightly differ from the previous versions.
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If you are using the GUI, you must try the new release!. Please do so in a new virtual environment if you still need to complete some analyses with the previous release.
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