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Research Objectives
To evaluate the usability of a mobile platform based on electromyography (EMG)-guided
neurofeedback, called MyoPanda, for wrist extension training in individuals with stroke.
Design
A before-after trial.
Setting
A public hospital in China.
Participants
Eight individuals with stroke and measurable EMG activity in the muscle extensor carpi
radialis of the affected arm were recruited (age range 32 – 68 years, 8 males, days
post-stroke range 31 – 145, baseline Fugl-Meyer Assessment of the Upper Extremity
[FMA-UE] score range 8 – 53).
Interventions
Participants performed ten sessions of EMG-guided neurofeedback training for wrist
extension using MyoPanda over the course of two weeks. A complete training session
(40 – 50 minutes) consisted of EMG calibration, stability, and dynamic tasks. All
participants continued with their usual care.
Main Outcome Measures
The primary outcome measures were the System Usability Scale (SUS) and a customized
questionnaire on the willingness to use MyoPanda at home (5-Point Likert Scale).
Results
Eight participants had a median SUS score of 82.5 (Excellent) and they were willing
to continue the training at home. However, many patients reported the need for support
to use the system, and the need for someone to help with placing the armband on the
forearm and the operation of the tablet.
Conclusions
MyoPanda is a potentially promising tool for training wrist extension, even in very
weak patients. Based on the results, using the current setup in clinical settings
for stroke rehabilitation with assistance from therapists/caregivers is feasible.
While patients were generally positive about their experience with MyoPanda, many
indicated they were reluctant to use the armband and software application independently.
Reasons for this need to be further explored before testing is extended to the home
setting.
Author(s) Disclosures
None.
Key Words
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Copyright
© 2022 Published by Elsevier Inc.