Abstract

Understanding the reorganization of the central nervous system after stroke is an important endeavor in order to design new therapies in gait training for stroke patients. Current clinical evaluation scores and gait velocity are insufficient to describe the state of the nervous system, and one aspect where this is lacking is in the quantification of gait symmetry. Previous studies have pointed out that spatiotemporal gait asymmetries are commonly observed in stroke patients with hemiparesis. Such asymmetries are known to cause long-term complications like joint pain and deformation. Recent studies also indicate that spatiotemporal measures showed that gait symmetry worsens after discharge from therapy. This study shows that muscle synergy analysis can be used to quantify gait symmetry and compliment clinical measures. Surface EMG was collected from lower limb muscles of subacute post-stroke patients (with an onset of around 14 days) from two groups, one undergoing robotic-assisted therapy (known as HAL group) and the other undergoing conventional therapy (known as Control group). Muscle synergies from the paretic and non-paretic limb were extracted with Non-Negative Matrix Factorization (NNMF) and compared with each other to obtain a gait symmetry index over therapy sessions. Gait events were tracked with motion tracking (for the HAL group) or foot pressure sensors (for the conventional therapy group). Patients from both groups were assessed over a 3-weeks long gait training program. Results indicated that there were no differences in muscle synergy symmetry for both groups of patients. However, the timing of muscle synergies were observed to be symmetrical in the HAL group, but not for the Control group. Intergroup comparisons of symmetry in muscle synergies and their timings were not significantly different. This could be due to a large variability in recovery in the Control group. Finally, stance time ratio was not observed to improve in both groups after their respective therapies. Interestingly, FIM and FMA scores of both groups were observed to improve after their respective therapies. Analysis of muscle coordination could reveal mechanisms of gait symmetry which could otherwise be difficult to observe with clinical scores.

Highlights

  • Gait impairment is traditionally associated with stroke, and hemiparesis is a common observance (Olney and Richards, 1996)

  • Another similar study used muscle synergy analysis to examine differences between lower limbs of spinal cord injury patients (PérezNombela et al, 2017). They found that there were differences in the composition and activation of muscle synergies between lower limbs, suggesting that spinal cord injury patients suffer from a similar problem in stroke patients, where one limb is more affected that the other limb. This current study aims to address the limitations of the previous study by evaluating the short-term changes in spatial and temporal muscle coordination symmetry, as quantified by the spatial organization of muscles used with their corresponding activation times, in patients undergoing a course of robotic-assisted gait training and compare them with patients undergoing a course of conventional gait training

  • Our study aims to quantify gait symmetry changes with muscle synergies and evaluate differences in muscle coordination between patients undergoing robotic gait training and conventional gait training (HAL group vs. Control group)

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Summary

INTRODUCTION

Gait impairment is traditionally associated with stroke, and hemiparesis is a common observance (Olney and Richards, 1996). They found that there were differences in the composition and activation of muscle synergies between lower limbs, suggesting that spinal cord injury patients suffer from a similar problem in stroke patients, where one limb is more affected that the other limb This current study aims to address the limitations of the previous study by evaluating the short-term changes in spatial and temporal muscle coordination symmetry, as quantified by the spatial organization of muscles used (muscle synergies) with their corresponding activation times (timing coefficients), in patients undergoing a course of robotic-assisted gait training and compare them with patients undergoing a course of conventional gait training

METHODS
Participants
Gait Training Methods
Data Measurement
Clinical Assessments
Data Analysis
Statistical Analysis
RESULTS
Patient Characteristics
Clinical Scores
Overview of EMG
Stance Duration and Stance Time Ratio
Number of Muscle Synergies
Muscle Synergy Symmetry
Verification of Between Sensor Detection
Excluded Patients
DISCUSSIONS AND CONCLUSIONS
Comparison With Multiple Number of Synergies
Number of Muscle Synergies and Symmetrical Control
Lack of Correlation Between Clinical Scores and Muscle Synergy Symmetry
Effects of Therapy Type on Stance Percent Symmetry and Stance Time Ratio
Improvement in Temporal Muscle Coordination in the HAL Group
Relation Between Muscle Coordination and Stance Symmetry
Muscle Usage and Body Weight Bearing on Limbs
Limitations of Study
CONCLUSIONS
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