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:: Volume 11, Issue 3 (Summer 2023) ::
Shefaye Khatam 2023, 11(3): 11-24 Back to browse issues page
A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study
Ali Zendehbad , Hamid Reza Kobravi * , Mohammad Mahdi Khalilzadeh , Athena Sharifi Razavi , Payam Sasannejad
Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran , hkobravi@mshdiau.ac.ir
Abstract:   (1145 Views)
Introduction: Upper limb functional disability is a common after-effect among stroke survivors. The main goal of this study was to present a visual biofeedback protocol to identify a model based on synergy patterns of the elbow muscles for motor learning and rehabilitation of stroke survivors with hemiparesis. Materials and Methods: First, kinematic data related to the position of four joints and the surface electromyography signal of four muscles involved in the arm movement in the transverse plane were collected, preprocessed, and synchronized. In the next step, muscle synergy patterns were extracted using the Hierarchical Alternating Least Squares (HALS) method, and at the same time, kinematic data were recorded by the modified MediaPipe algorithm. Finally, a deep learning model based on the Gated Recursive Unit (GRU) was used to map between them. The model output was regarded as the visual biofeedback trajectory to conduct the exercise therapy by the patients. Results: The evaluations showed that the path produced by the proposed model is potentially suitable for visual biofeedback. Moreover, the artificial neural network based on GRU architecture has had the best performance in generating the visual biofeedback trajectory. Conclusion: Experimental and clinical evaluations will show that participants can acceptably follow the visual trajectory generated by the model. Therefore, this mechanism can be used to improve and develop biofeedback systems to accelerate the functional rehabilitation of patients with hemiplegia caused by ischemic stroke along with other conventional rehabilitation methods.
 
Keywords: Electromyography, Ischemic Stroke, Neurological Rehabilitation, Upper Extremity
Full-Text [PDF 2593 kb]   (410 Downloads)    
Type of Study: Research --- Open Access, CC-BY-NC | Subject: Neurorehabilation
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Zendehbad A, Kobravi H R, Khalilzadeh M M, Sharifi Razavi A, Sasannejad P. A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study. Shefaye Khatam 2023; 11 (3) :11-24
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Volume 11, Issue 3 (Summer 2023) Back to browse issues page
مجله علوم اعصاب شفای خاتم The Neuroscience Journal of Shefaye Khatam
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