Condition: Upper Limb Amputation · Sponsor: Scuola Superiore di Studi Universitari e di Perfezionamento Sant'Anna
The investigators propose to validate a non-invasive upper limb prosthesis capable of combining: 1) intuitive movement control through machine learning applied to myoelectric signals, and 2) vibrotactile sensory feedback in response to touch and object release events. The prosthesis is composed at the minimum of skin-surface electrodes for myoelectric signals, vibrotactile actuators, a multi-articulated and instrumented hand prosthesis and a centralized control system. Such system is validated for several weeks in non-supervised environments.
This description comes directly from the study's public registry record.
Enzo Mastinu, MSc, BSc, PhD · 0039 050 883111 · enzo.mastinu@santannapisa.it
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| IRCCS Istituto Ortopedico Rizzoli | Bologna, Bo, Italy | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06886295