Synergy analysis as a tool to design and assess an effective stroke rehabilitation

• Published in: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2014; pp. 3550 - 3553
• Main Authors: Urra, O., Casals, A., Jane, R.
• Format: Conference Proceeding Journal Article Publication
• Language: English
• Published: United States IEEE 01.01.2014; Institute of Electrical and Electronics Engineers (IEEE)
• Subjects: Adult; Aplicacions de la informàtica; Bars; Bioinformàtica; Cerebrovascular disease; Electromyography; Exercise Therapy; Feedback, Sensory; Female; Humans; Informàtica; Malalties cerebrovasculars; Male; Motor Activity - physiology; Motor drives; Neuromuscular; Pacients; Patients; Rehabilitació; Rehabilitation; Shoulder - physiology; Stroke Rehabilitation; Vectors; Visualization; Àrees temàtiques de la UPC
• ISBN: 1424479290; 9781424479290
• ISSN: 1094-687X; 1557-170X
• DOI: 10.1109/EMBC.2014.6944389

The poor rehabilitation success rate, including the cases of ineffective and detrimental adaptations, make stroke a leading cause of disability. Thus, it is essential to recognize the mechanisms driving healthy motor recovery to improve such rate. Stroke alters the Synergy Architecture (SA), the modular muscle control system. So SA analysis may constitute a powerful tool to design and assess rehabilitation procedures. However, current impairment scales do not consider the patient's neuromuscular state. To gain insights into this hypothesis, we recorded multiple myoelectric signals from upper-limb muscles, in healthy subjects, while executing a set of common rehabilitation exercises. We found that SA reveals optimized motor control strategies and the positive effects of the use of visual feedback (VF) on motor control. Furthermore we demonstrate that the right and left arm's SA share the basic structure within the same subject, so we propose using the unaffected limb's SA as a reference motion pattern to be reached through rehabilitation.