Multimodal Analysis Of Upper Extremity Motor Dysfunction In Stroke

Stroke features with high incidence and disability rate.Among over two million annually-increased cases of stroke patients in China,six-tenths suffer from motor dysfunctions.Motor rehabilitation serves as an effective approach to help stroke patients regain self-care ability,relieve family financial burden,and rebuild confidence of coming back to society.The purpose of this study was to assess how changes in upper limb motion control strategies were observed in stroke patients as they changed their environment.The main work includes the development of a platform for the uncertainty of the motion environment,and a platform for the dynamic load change of the motion task.The safety and feasibility of the evaluation method are verified by clinical experiments.Sensorimotor dysfunction resulted from stroke may deprive the patients of achieving optimal motor performance in a risky environment.Such condition may bring about failure in motor learning and further hinder the rehabilitation progress.It is thus of vital importance to identify and quantify stroke patients’ risk-aware ability.Research available has indicated that human beings would constantly modify their motor behaviors according to unstable environment.In this sense,the existing evaluation approaches for motor function that focus exclusively on short-time movement may be too short in time duration to exploit human beings’ feedback mechanism.We designed an experimental paradigm and experimental platform to assess risk perception,overlaying a virtual Gaussian noise on the subject’s athletic effects.And by changing the variance of Gaussian noise,the subject’s ability to sense risk and response to environmental uncertainty is tested.Results showed that stroke patients,unlike their healthy counterparts,were unable to modify their movement in concordance with the increasing gaussian noise.This provided a quantifiable approach to evaluate stroke patients’ risk-aware ability.Human defend environmental uncertainties through coordinated control of muscles.One of the concrete manifestations is that the Muscle Synergy model vary by task,environment,and individuals.Based on this theory,we built a sports muscle synergy experiment platform.Accordingly,we built an experiment platform to investigate the disparity between healthy participants and stroke patients in terms of kinematical indicators(e.g.displacement,speed)and electrophysiological indicators(e.g.neuromuscular signals)provided by synergistic movement between shoulder and elbow joints in different loads and movements,in which analytical approaches such as muscle synergy were applied.Results from clinical trials found significant disparities between healthy participants and stroke patients in the degree of divergence,time of movement,discharging of myoelectricity,and synergistic similarity of muscle groups.These results contribute to the depiction of stroke patients’ motor abnormity.It is generally considered that the synergy vector similarity in muscle synergy is difficult to change,but we can affect the synergy vector similarity by changing the patient’s motion load,which means that we may establish a modulation relationship between vector similarity and motion load.In conclusion,this study proposed an idea of evaluating stroke patients’ rehabilitation effects by analyzing the multimodal indicators of their upper limb movement,and built two experiment platforms to prove the feasibility and validity of this idea.Through analyzing the disparities between healthy participants and stroke patients with Neuromotor Control Theory,this study provides insights into the evaluation of clinical motor rehabilitation effects.