Good luck getting this in your hospital.
An Immersive Motor Imagery Training System for Post-Stroke Rehabilitation Combining VR and EMG-based Real-Time Feedback
Publisher: IEEE
Abstract:
Motor
imagery combining virtual reality (VR) technique has recently been
reported to have an increasingly positive impact on post-stroke
rehabilitation. However, there is a common problem that the engagement
of patients cannot be confirmed during motor imagery training due to a
lack of effective feedback control. This paper proposes a VR-based motor
imagery training system for post-stroke rehabilitation, using surface
electromyographic (EMG)-based real-time feedback to enable the
personalized training and quantitative assessment of participation
degree. Three different experiments including assessment experiment,
action observation (AO), combined motor imagery and action observation
(MI+AO) experiment were performed on 4 post-stroke patients to verify
the system. The immersive scenario of the VR system provides a shooting
basketball training for bilateral upper limbs. The EMG data of
assessment of each participant was collected to calculate the
thresholds, which was utilized in the subsequent experiments based on
real-time feedback of EMG. The result reveals significant differences of
the muscle strength between AO and MI+AO experiments. This demonstrates
that the EMG-based feedback is effective to be of use in assessment of
participation degree. The primary application shows that VR-assisted
motor imagery system has potential to provide personalized and more
engaged training for post-stroke rehabilitation.
Published in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Date of Conference: 1-5 Nov. 2021
Date Added to IEEE Xplore: 09 December 2021
ISBN Information:
ISSN Information:
PubMed ID: 34892847
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