Skip to content

About us


“To build the most complete, easy-to-use, free, and open-source framework for the analysis of High-Density Electromyography (HD-EMG) recordings”

But we cannot achieve this alone! That's why openhdemg is a community-driven project where everyone's contribution is welcomed and essential.


community inclusion collaboration knowledgesharing

We aim to cultivate a culture of knowledge sharing, collaboration, and open-source contributions within the HD-EMG community, ensuring that expertise and advancements are accessible to all.

advance discover research

We want to empower researchers with an efficient, effective and comprehensive framework for the analysis of HD-EMG recordings and single motor unit properties to advance their research.


A roadmap is a collection of planned milestones and tasks that are necessary for the successful development and growth of the openhdemg project. It outlines the key steps and objectives that need to be achieved to meet the project's goals and deliver value to the community. The roadmap drives the project's evolution, ensuring that efforts are focused, organized, and aligned with the overall vision.

At this stage, we have identified and set six major milestones for the openhdemg project. These milestones are divided into two categories: three on the development side and three on the engagement side.

To read the complete roadmap, click on the next button.

Complete roadmap  

graph TB;
    A[Development] --> B(Feedback from beta test)
    B --> C(Stable release v0.1)
    C --> D(Continuous updates)
    E[Engagement] --> F(Reach)
    E[Engagement] --> G(Outreach)
    E[Engagement] --> H(New contributors)
    F --> I(Feedback)
    G --> I(Feedback)
    I --> D
    H --> D
    D --> L(Release v1.0)

Meet the developers

Giacomo Valli:


  • The creator/maintainer of the project and developer of the library.

  • Giacomo Valli obtained a master degree in Sports Science and a research fellowship in molecular biology of exercise. He completed the PhD in neuromuscular physiology at the University of Padova (IT) and he is currently a PostDoc fellow at the University of Brescia (IT). His main focus is on investigating electrophysiological modifications that occur during periods of disuse, disease, and aging, and in linking this information to the molecular alterations of the muscle.

Paul Ritsche:


  • The developer of the GUI.

  • Paul Ritsche obtained a master degree in Sports Science at the University of Basel (CH). He is currently a research associate at the University of Basel (CH) focusing on muscle ultrasonography. He is investigating automatic ultrasonography image analysis methods to evaluate muscle morphological as well architectural parameters.

Drew-James Beauchamp:


  • Developer of the library.

  • James (Drew) Beauchamp completed his doctoral studies in Engineering at Northwestern University, where his work focused on characterizing the deficits in human motor function that are introduced by neuromodulatory inputs to spinal motoneurons. He is interested in providing creative ways to decouple the structure of descending motor commands and is currently a post-doctoral researcher at Carnegie Mellon University.

Meet the contributors

Francesco Negro:


  • Contribution:   Knowledge sharing   Code sharing   Accuracy check

  • Francesco Negro is a Full Professor at the Department of Clinical and Experimental Sciences at Universita’ degli Studi di Brescia (IT). His research interests include applied physiology of the human motor system, signal processing of intramuscular and surface electromyography, and modeling of spinal neural networks.

Gregory EP Pearcey:


  • Contribution:   Knowledge sharing   Code sharing   Accuracy check

  • Gregory Pearcey is an Assistant Professor in the School of Human Kinetics and Recreation at Memorial University of Newfoundland and holds a cross-appointment in BioMedical Sciences (Faculty of Medicine, Memorial), as well as an Adjunct Faculty position in Physical Therapy & Human Movement Sciences (Northwestern University). He is interested in decoding the neural control of human movement via recording myoelectric signals from the surface and within human muscle with a goal of understanding and enhancing neuroplasticity and the recovery of motor function after neurological impairment.

Andrea Casolo:


  • Contribution:   Knowledge sharing   Accuracy check

  • Andrea Casolo is an Assistant Professor at the Department of Biomedical Sciences, University of Padova (IT). He obtained a MSc in Health and Physical Activity (2016) and a PhD in Human Movement and Sport Sciences (2020) from the University of Rome "Foro Italico". His research interests focus on the neural control of movement and the study of neuromuscular plasticity to physical exercise investigated with high-density surface electromyography.

Giuseppe De Vito:


  • Contribution:   Knowledge sharing

  • Giuseppe De Vito is a full Professor of Human Physiology in the Department of Biomedical Sciences at University of Padova (IT). He was, from 2007 until 2019, Professor and Dean in the School of Public Health, Physiotherapy & Sports Science at University College Dublin (IE) (Head of School between 2014 and 2019). Giuseppe does research in Human and Exercise Physiology.