Prof. Alessandro Del Vecchio

Chair of Neuromuscular Physiology and Neural Interfacing, Department Artificial Intelligence in Biomedical Engineering

We study how our nervous system controls muscle forces. Our research is within the neurophysiological and neuro-engineering framework and aims at providing accurate and robust applications for human/machine interfaces and neurophysiological investigations. Our end goal is to restore motor function in paralyzed individuals and to identify biomarkers of neuroplasticity.

Research projects

  • Neuromuscular control of the human hand
  • Decoding large (>thousands) populations of spinal motoneurons
  • Hybrid interface with cortical and spinal motoneurons
  • The effect of training and neurorehabilitation on behaviour of spinal and cortical motoneuro

  • Embedded AI for neuromuscular orthoses

    (Third Party Funds Single)

    Term: 1. March 2024 - 28. February 2027
    Funding source: Bundesministerium für Bildung und Forschung (BMBF)
  • Restoring hand function with neuromuscular restrictions using an intelligent neuroorthosis

    (Third Party Funds Single)

    Term: 1. December 2023 - 31. May 2026
    Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)
  • Development of an innovative neurobandage with an integrated brain-computer interface for testing hand function

    (Third Party Funds Single)

    Term: 1. October 2023 - 31. October 2026
    Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)
  • Teilvorhaben: Friedrich-Alexander-Universität Erlangen-Nürnberg

    (Third Party Funds Group – Sub project)

    Overall project: Entwicklung und Kontroller personalisierter Neurorehabilitation für die Hand durch virtuelles Feedbackgesteuert durch neuronale Signale
    Term: 1. May 2023 - 4. April 2026
    Funding source: BMBF / Verbundprojekt

2024

2023

2022

2021

2020

Related Research Fields

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