The purpose of this study was to compare the relationship among the Dynamic Gait Index(DGI), Berg Balance Scale(BBS) scores, Timed Up & Go Test(TUG), and subject characteristics. The subjects were fifteen stroke with hemiplegia were chosen in the Konyang University Hospital. Dynamic balance was measured Dynamic Gait Index(DGI), and balance was measured using Berg Balance Scale(BBS). Timed Up & Go Test(TUG) was used to evaluate functional mobility. Data were analyzed using Spearman correlation. There was significant correlated among Dynamic Gait Index(DGI), Berg Balance Scale(BBS) and Timed Up & Go Test(TUG)(p<.01). The correlation among subject characteristics and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG) score was significant result in r = -.527 from Dynamic Gait Index(DGI) and pathogenesis(p<.05). There were no significant statistical differences among the types of spasticity and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG). The comparison among the sex, type of hemiplegia, pain, pathogenesis and Dynamic Gait Index(DGI), Berg Balance Scale(BBS), Timed Up & Go Test(TUG) score was significant result in pathogenesis(p<.05). The results of this study showed that there was high correlations among the Dynamic Gait Index(DGI) and balance test of people with stroke.
Background: Gait analysis is an important measurement for health professionals to assess gait patterns related to functional limitations due to neurological or orthopedic conditions. The purpose of this study was to investigate the reliability of the newly developed portable gait analysis system (PGAS). Design: Cross-sectional design. Test-retest study. Methods: The PGAS study was based on a wearable sensor, and measurement of gait kinematic parameters, such as gait velocity, cadence, step length and stride length, and joint angle (hip, knee, and ankle) in stance and swing phases. The results were compared with a motion capture system (MCS). Twenty healthy individuals were applied to the MCS and PGAS simultaneously during gait performance. Results: The test-retest reliability of the PGAS showed good repeatability in gait parameters with mean intra-class correlation coefficients (ICCs) ranging from 0.840 to 0.992, and joint angles in stance and swing phase from 0.907 to 0.988. The acceptable test-retest ICC was observed for the gait parameters (0.809 to 0.961), and joint angles (0.800 to 0.977). Conclusion: The results of this study indicated that the developed PGAS showed good grades of repeatability for gait kinematic data along with acceptable ICCs compared with the results from the MCS. The gait kinematic parameters in healthy subjects can be used as standard values for adopting this PGAS.
Purpose: This study compares the effects of treadmill gait training accompanied by visual feedback and general treadmill gait training on the gait and balance ability of patients with chronic stroke. Methods: A total of 11 patients with chronic stroke were randomly divided into either the treadmill gait training accompanied by visual feedback group (six patients) or the general treadmill gait training group (five patients). The gait and balance ability of the two groups were measured before and after the interventions using the functional reach test, the Timed Up and Go (TUG) test, Berg's balance test, and the Biodex balance test. The treadmill gait training accompanied by visual feedback group performed the exercise under the supervision of a therapist after first being provided with a hat and a goal that was devised for the purpose of providing visual feedback information. The interventions were applied to the respective groups for four weeks. For the statistical analysis, we conducted a Mann-Whitney test to compare the results between the two groups. Additionally, the Wilcoxon test was used to compare the results from before and after the intervention in each group. Results: The treadmill gait training accompanied by visual feedback group showed a significant difference in terms of the functional reach test after the intervention when compared to the general treadmill gait training group (p<0.05). Although there was no significant difference, the treadmill gait training accompanied by visual feedback group showed a larger improvement in the TUG test, Berg's balance test, and the Biodex balance test than the general treadmill gait training group (p>0.05). Conclusion: The results of this study suggest that treadmill gait training accompanied by visual feedback can be used as a beneficial intervention scheme for the recovery of the gait and balance ability of patients with chronic stroke.
This study was conducted to investigate the effects of the removable ankle-foot orthosis (RAFO) which was developed to improve the gait of stroke patients. The subjects of this study were five stroke patients who agreed to participate in this study by signing a written consent form. To verify gait improvement after wearing the orthosis, a Timed Up and Go test and Functional Gait Assessment were performed, and spatiotemporal gait variables such as gait speed, cadence, stride length, double limb support, and the efficient gait test of body sway angle were performed. For every variable, the differences prior to and after wearing the RAFO were compared using the Wilcoxon signed-rank test. Every gait variable improved significantly after wearing the RAFO compared to prior to wearing it. The pilot study will enhance future efforts to evaluate orthotic function objectively during gait in stroke patients.
Purpose: This purpose of this study was to compare additionally applied weight underwater gait training and over-ground gait training to improve balance and lower extremity strength in stroke patients. Methods: Subjects were randomly allocated into two groups. Underwater gait training group (n=10) and Over-ground gait training group (n=9). The groups performed their respective programs as well as conventional physical therapy 3 times/week for 6 weeks. All subjects were assessed with the Berg balance scale test, the timed up and go test, and the medical research council test pre and post intervention. A paired t test was applied to compare the differences before and after the intervention, and an independent t test was used to compare the differences between the groups. The level of statistical significance was set at p<0.05. Results: The results showed that subjects in the underwater gait training group had a significantly increased Berg balance scale, timed up and go, and medical research council scores (p<0.05), and over-ground gait training group showed a significantly increased medical research council score (p<0.05) after intervention. The underwater gait training group showed a more significant improvement in medical research council, Berg balance scale and the timed up and go test scores compared to the over-ground gait training group (p<0.05). Conclusion: Findings of this study suggest that applying additional weight during underwater gait training improves lower extremity strength and balance in stroke patients. It' findings can contribute to the development of more efficient rehabilitation for stroke patients.
Purpose: This study was conducted to assess the effects of robot-assisted gait training with visual feedback on gait, balance, and balance confidence in patients with chronic stroke. Methods: Thirty subjects with chronic stroke were randomly assigned to two groups: the experimental group (n=15) and the control group (n=15). The experimental group performed robot-assisted gait training for 30 minutes and the control group performed gait training with assisted devices training for 30 minutes after both groups performed conventional physical therapy for 30 minutes. Both groups performed the therapeutic interventions for 5 days per week, for a period of 4 weeks. For assessment of the 10 m walking test (10 MWT), Figure of 8 on the walk test (F8WT), Timed-Up and Go test (TUG), and Berg Balance Scale (BBS) were used to test the gait and balance, and the Korean version of the Activities-specific Balance Confidence Scale was used to test the balance confidence. Results: The experimental group showed significant improvement in the 10 MWT and the K-ABC (p<0.05), and the control group showed significant improvement in the BBS and the TUG (p<0.05). In four measurements, there were significant differences between the two groups (p<0.05), and the control group showed significant improvement in the F8WT at pre and post intervention (p<0.05). Conclusion: This study demonstrated that Robot-assisted gait training with visual feedback is an effective intervention for improving straight gait abilities and balance confidence, while the control group showed some improvement in curve gait and balance. Thus, we suggest both Robot-assisted gait training with visual feedback and gait training with assisted devices training exercise as a therapeutic intervention in chronic stroke rehabilitation.
Objective: The objective of this study is to investigate the effect of treadmill gait trainig on dynamic balance and gait functions in stroke patients. Design: Randomized, double-blind, controlled pilot study. Methods: Four subjects following first stroke participated in this study. They were divided randomly into the treadmill gait trainig group (TM group) (n=2) and the control group (n=2). Subjects in both groups received general training five times per week. Subjects in the TM group practiced an additional treadmill gait trainig program that consisted of 60 minutes, three times per week, during a period of four weeks. Timed up and go test (dynamic balance) and the GAITRite test (gait function) were evaluated before and after the intervention. Results: In dynamic balance (timed up and go test), the TM group (-14.235 sec) showed a greater decrease than the control group (-13.585 sec). In gait functions, the TM group showed a greater increase in gait speed (12.8 cm/s vs. 10.15 cm/s), step-length (5.825 cm vs. 3.735 cm), and stride-length (5.005 cm vs. 1.55 cm) than the control group. Conclusions: The treadmill gait trainig improved dynamic balance and gait functions. Further research is needed in order to confirm the generalization of these findings and to identify which stroke patients might benefit from treadmill gait trainig.
Purpose : Stroke patients exhibit considerable variations in gait patterns. Stroke patients generally show abnormal muscle tone and gait. This study was performed to evaluate the effects of treadmill gait training combined with muscle tone control technique (TM) on gait ability in patient with chronic stroke. Methods : A single-blind, randomized controlled trial was conducted with 36 patient with chronic stroke. They were randomly allocated 2 groups; treadmill gait training combined with muscle tone control technique group (TM group; n=18) and conservative treatment group (CG group; n=18). The TM group received 15 minutes muscle tone control technique and 15 minute treadmill gait training. In the conservative treatment group received 30 minutes conservative physical therapy. Each group performed 30 minutes a day 3 times a week for 8 weeks. The primary outcome gait ability were measured by gait measurement system (Optogait, Microgate, Italy) and 10 m walking test (10MWT). An independent t-test was used to statistically analyze the pre-test and pos-ttest gait ability results. Results : Both groups demonstrated significant improvement of outcome in gait ability during intervention period. TM group showed significant differences in gait ability as compared to the CG groups (p<.05). TM group showed significant differences in 10MWT as compared to the CG groups (p<.05). Our results showed that TM was more effective on gait ability in patients with chronic stroke. Conclusion : Our findings of this study confirmed that the treadmill gait training combined with muscle tone control technique provided significant improvements on gait ability in patient with chronic stroke. Therefore treadmill gait training combined with muscle tone control technique may positive influenced gait ability. This study will be able to be used as an intervention data for recovering gait ability in patients with chronic stroke.
Purpose: The objective of this study was to identify functional problems, including walking ability, of patients with strokes using the International Classification of Functioning, Disability, and Health (ICF) and to present a method that could solve functional problems, thereby determining the applicability of the ICF to increase the quality of evaluation and intervention in clinical fields in the future. Methods: Information on stroke patients who were admitted and treated in a hospital was collected. The authors conducted evaluations, interventions, and measurements of the results of the ICF tool in order to improve gait abilities of patients. The subjects were trained using proprioceptive neuromuscular facilitation (PNF) one hour a day and five times a week for four weeks. The result measurement variables were a six-minute gait test, 10 m velocity test, gait instability test, and measurements using the ICF sheet. Results: In the six-minute gait test, gait distance increased by 48 m, from 102 m to 150 m. The gait velocity test result showed an improvement from 0.36m/s to 0.44m/s. The subjects performed a gait instabilitytestwithacupfilledwith50mmwater. In the gait instability test, the amount of water was 38 mm before the intervention; however, it was 50 mm after the intervention. The gait velocity with a cup filled with water improved from 0.25m/s to 0.31m/s. Conclusion: An evaluation and intervention were designed with the ICF tool for stroke patients. Gait abilities improved when the PNF technique was used. The IFC method can be used for evaluation and intervention, and it could help improve gait abilities of stroke patients.
Kim, Jeong-Soo;Kim, Jeong-Ah;Jeon, Hye-Seon;Yu, Kyung-Hoon
한국전문물리치료학회지
/
제20권4호
/
pp.40-46
/
2013
The purpose of this study was to determine which spatiotemporal gait parameters obtained during hemiplegic walking could be a predictive factor for the Timed Up and Go test (TUG). Two hundreds nine subjects who had suffered a stroke were recruited for this study. They were participated in two assessments; the TUG test and gait analysis. The relationship between the TUG test and spatiotemporal parameters was analyzed using Pearson's correlation coefficients. In addition, to predict the spatiotemporal gait parameters that correlated most with the TUG scores, we used multiple linear regression analyses (stepwise method). The results show that the normalized velocity was strongly correlated with the TUG performance (r=-.72, p<.001). Additionally, single support percentage (SSP), double support percentage (DSP), step time difference (STD), and step length difference (SLD) significantly were correlated with the TUG test. Normalized velocity, STD, DSP of affected side, and SSP of non-affected side explained 53%, 8%, 3%, 2%, of variance in the TUG test respectively. In conclusion, an increase in gait velocity and a decrease in STD would be effective indicators of improvement on the functional mobility in the stroke rehabilitation.
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