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Towards biomarkers-driven rehabilitation robots for the upper limbs.


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500 places par session

Anglais

This webinar will review existing innovative devices and then show future developments integrating biomarkers from the EMG signal to develop new robotic devices for both amputees and stroke patients.


Ce webinar fera le point sur les dispositifs innovants existants puis montrera les évolutions à venir intégrant les biomarqueurs issus du signal EMG pour développer de nouveaux dispositifs robotiques tant pour les amputés que pour les AVC.

This webinar is intended for an audience interested in innovations in the field of robotics in physical medicine and rehabilitation.


Ce webinar est destiné à un public intéressé par les innovations dans le domaine de la robotique en médecine physique et de réadaptation.

13.30 (12.30 London time zone) Joe Green (Specialist Neurological Physiotherapist) will be available to present on the MyoPro. Title: The MyoPro: Harnessing Patient EMG's for Assistance and Restorative Therapy


13.45 (12.45 London time zone) Amy Dennis-Jones (Specialist Neurological Physiotherapist) will present. Title: Cyberdyne Single Joint Type: Using Bioelectrical Signals to Manage Tone with the Goal of Improving Muscle Selectivity and Strength.


14.00 (13.00 London time zone) Anna Poswiata (PhD Clinical Manager Egzotech), Timothée Hougron (Specialist Neurological Physiotherapist) Olivier Rémy-Néris (MD Phd Professor of PMR). The LunaEMG robot. How to manage rehabilitation with EMG biofeedback.


14.30 (13.30 London time zone) Matthieu Guemann (PhD Physical therapist, Armed Forces Biomedical Research Institute) Towards bio-inspired sensory-motor control of upper limb myoelectric prostheses


15.00 (14.00 London time zone) Dr Dalin Zhou, Prof. Yinfeng Fang, Dr. Udeshika Dissanayake (University of Portsmouth) Electrical manifestation of muscle group triggering in post-stroke upper-limb rehabilitation.


15.30 (14.30 London time zone) Discussion


Ce que vous allez apprendre

Discover EMG driven robotic devices


Discover the role of AI (artificial intelligence) for future robots in physical medicine