EMG Control Assistance Virtual Reality Interface Coupled With Cerebellar-iTBS for Arm Recovery After Stroke (ERICA)

Recruiting now · Not applicable · Has a placebo group

Conditions studied: Stroke, Stroke, Cardiovascular

In brief

The investigators hypothesize that a myoelectric (EMG) controlled virtual reality (VR) interface allows for effective upper limb motor recovery of stroke patients. EMG control offers the possibility to alter visual feedback according to the recorded muscle activity in real-time. By manipulating the motion of a virtual hand associated with the recorded muscle patterns, assistance can be provided to stroke patients by correcting the error between the actual (dysfunctional) and a reference (functional) muscle pattern. Thus, through such an assistive EMG control algorithm, patients will be able to perform reaching movements with the virtual hand despite their motor impairment. By gradually reducing assistance, it is hypothesized that the salient error in the task space provided as visual feedback will systematically change the muscle patterns, thereby driving adaptation of the dysfunctional muscle patterns, enhancing motor recovery. Moreover, due to its relevant role in motor learning, it is expected that cerebellar stimulation will favor the underlying processes of adapting cerebello-cortical plasticity involved in motor learning. Therefore, it is hypothesized that an assistive EMG control algorithm in combination with cerebellar transcranial magnetic stimulation will further enhance upper limb recovery.

Key facts

Study ID
NCT06911671
Run by
I.R.C.C.S. Fondazione Santa Lucia
People needed
45
Starts
2025-04-01
Expected to finish
2027-10-01
Last updated by the study team
2026-02-03

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

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You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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