This study did not confirm that the effect of gait training combined with compelled body weight shift therapy was better than gait training alone on improving velocity and gait symmetry in patients with chronic stroke.
The main patterns characterizing standing posture of hemiparetic patients include: weight-bearing asymmetry (WBA), larger postural sway, asymmetrical contribution of lower limbs to balance control, and increased visual dependency to balance control. The aim of this study was to evaluate the effect of decreasing WBA with the use of a shoe lift, on quiet standing postural control in patients with chronic stroke. Twenty-seven patients participated in this study. Patients completed two tests: 1) quiet standing; and 2) quiet standing while a lift was placed under the non-paretic limb. The following tests were completed on force plates for evaluation: asymmetry of the balance measures (weight bearing, root mean square (RMS) of anterior-posterior (AP) and medial-lateral (ML) center of pressure (COP) velocity), RMS of total AP and ML COP velocity, and AP and ML Romberg quotients. Paired t-tests were used to analyze the data. The mean value of WBA index decreased significantly after using a lift (p < 0.05). However, the changes of the mean value of other postural control parameters were not significant (p > 0.05). The results indicate that there may not be an association between decreased WBA and improved postural control during quiet standing in patients with stroke.
Introduction:Application of biofeedback techniques in rehabilitation has turned into an exciting research area during the recent decade. Providing an appropriate visual or auditory biofeedback signal is the most critical requirement of a biofeedback technique. In this regard, changes in Surface Electromyography (SEMG) signals during wrist movement can be used to generate an indictable visual biofeedback signal for wrist movement rehabilitation via SEMG biofeedback. This paper proposes a novel methodology for selecting the most appropriate features out of wrist muscle SEMG signals.Methods:To this end, the surface EMG signals from flexor and extensor muscle groups during wrist joint movements were recorded and analyzed. Some linear and nonlinear features in frequency, time, and time-frequency domains were extracted from the recorded surface EMG signals of the flexor and extensor muscles. Experiments and analyses were performed on ten healthy subjects and four stroke patients with wrist muscle spasticity as the movement disorder subjects. Some heuristic feature selection measures were applied. The main motivation behind choosing applied heuristic feature selection measures was meeting. In the first step, the designed visual biofeedback signal should indicate a healthy wrist motion profile as its successful tracking by the patient guarantees rehabilitation. In addition, the visual biofeedback signal should be a smooth curve thus preventing the patient from discomfort while tracking it on a monitor during the biofeedback therapy.Results:In this pilot study, after using the introduced feature selection measures, quantitative and qualitative analyses of the extracted features indicated that Shannon entropy is the most appropriate feature for generating a visual biofeedback signal as a healthy wrist motion profile to improve the ability of stroke patients in controlling wrist joint motion. In addition, it was shown that when the wrist joint moves between a flexed and rest position, the flexor muscle EMG signal should be used for generating a visual biofeedback signal. However when the wrist joint moves between a rest position and an extended position, the extensor muscle EMG signal is appropriate for providing a visual biofeedback signal. It is worth noting that the achieved pilot study results should be confirmed by the future studies with larger samples.Conclusion:According to the obtained results, it can be concluded that among the analyzed features, the Shannon entropy was the most appropriate feature. It can be employed for generating a visual biofeedback signal for reduction of spasticity in patients with stroke.
Background and Purpose: Improvement of balance and postural stability is an important goal in stroke rehabilitation. The purpose of this study was to investigate the effects of a shoe lift under the nonparetic leg on balance function and balance confidence in persons with chronic stroke. Methods: Thirty-six individuals with chronic stroke (21 males and 15 females), who were able to walk independently and showed stance asymmetry, were randomized to a shoe insert and a control group. The interventions included a 6-week balance training program, in conjunction with a shoe lift under the nonaffected leg (shoe insert group, n = 18), or balance training alone (control group, n = 18). The outcome measures were weight-bearing asymmetry (WBA), root mean square (RMS) of anterior-posterior (AP) and medial-lateral (ML) center-of-pressure (COP) velocity asymmetry, Berg Balance Scale (BBS), and Activities-specific Balance Confidence (ABC) Scale. These were measured in both groups at baseline, after the intervention, and at a 3-month follow-up. A repeated-measure multivariate analysis of variance was conducted to evaluate the impact of 2 different interventions on balance measures, across the 3 periods. Results and Discussion: No significant between-group differences were found for demographics and stroke-related characteristics of participants (P > .05). The outcome measures between the 2 groups were not significantly different at baseline (P > .05). There were between-group differences for WBA and the RMS of AP COP velocity asymmetry after the intervention and at the 3-month follow-up (P < .05). No significant difference in the RMS of ML COP velocity asymmetry, BBS, and ABC was identified between the 2 groups after the intervention and at the 3-month follow-up (P > .05). Conclusion: The results indicated that the use of a shoe lift under the nonaffected leg in the context of a balance training program could result in a greater improvement in static standing balance as compared with balance training alone in an individual with chronic stroke. Trial Registration: The study was retrospectively registered in the Iranian Registry of Clinical Trials (IRCT20190603043808N1).
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