Effects of Jump Training on Gait Pattern and Balance Ability in Hemiplegic Stroke Patients

Author(s):  
Sung-Hyun Park
2018 ◽  
Vol 192 ◽  
pp. 02009
Author(s):  
Warawut Suwalai

Gait training or gait rehabilitation is one of the major physiotherapy for stroke patients. Evidently, the robot-assisted gait training, as one part of medical technology innovation breakthrough, has important role in the rehabilitation process. The robot effectively improves treatment outcomes, fast recovery time and better convenience from traditional treatment. Typically, stroke patients are trained to walk on treadmill while a physiotherapist carefully supports and re-correct the gait pattern of the patient. For repetitive and long-time rehabilitation, it is so difficult that the physiotherapist can maintain the quality of treatment consistently. To solve such difficulties, the robotic platform is proposed for automatic guiding the gait pattern for ankle rehabilitation. The robot consists of left and right sides. Each of them is actuated by two linear and one rotational actuator. PID algorithm is implemented for position control of each joint. The experimental results show the tracking error in non-loaded and loaded cases.


2019 ◽  
Vol 19 (02) ◽  
pp. 1940018
Author(s):  
ANDY CHIEN ◽  
FU-HAN HSIEH ◽  
CHING HUANG ◽  
FEI-CHUN CHANG ◽  
NAI-HSIN MENG ◽  
...  

One-third of stroke survivors fail to regain independent ambulation and strokes have been identified as a significant source of long-term disability and a tremendous health burden. Robot-assisted gait rehabilitation is gaining traction and advocators for its inclusion as part of the routine post-stroke rehabilitation program are on the increase. However, despite the recent technological advances in the development and design of better robotics, the research evidence on the best model of robotic training remains sparse and unclear. It is therefore the aim of the current study to comparatively investigate the clinical feasibility and efficacy of a recently developed HIWIN Robotic Gait Training System (MRG-P100) combined with the use of a lab-developed MBS-E100 EMG system as a controller on facilitating the development of an appropriate gait pattern for motor impaired subacute stroke patients. The results indicated that due to the heterogeneity of stroke-induced changes in muscle characteristics, an “auto-fit” algorithm was required to allow constant monitoring and updating of the appropriate threshold based on EMG signals captured during previous gait cycle in order to determine the desired muscle activation threshold for the current gait cycle. Eighteen participants were tested using the new auto-fit algorithm and results demonstrated a significantly more fluent and physiologically appropriate gait pattern.


2020 ◽  
Vol 10 (2) ◽  
pp. 80
Author(s):  
Kyeongjin Lee

This study was conducted to investigate the effects of balance training with electromyogram-triggered functional electrical stimulation (EMG-triggered FES) to improve static balance, dynamic balance, and ankle muscle activation in stroke patients. Forty-nine participants (>6 months after stroke) were randomly assigned to the experimental group (n = 25) and the control group (n = 24). The experimental group underwent balance training with EMG-triggered FES for 40 min a day, 5 days a week, for a 6-week period in addition to general rehabilitation. The control group underwent balance training without EMG-triggered FES along with conventional therapy. Outcome measures included static balance ability, dynamic balance ability, and leg muscle activation. The static and dynamic balance abilities were significantly improved after intervention in both groups (p < 0.05), although the experimental group showed considerably greater improvement than the control group (p < 0.05). Leg muscle activation on the affected side resulted in significant improvements in the experimental group (p < 0.05) when compared with baseline but not in the control group. Balance training with EMG-triggered FES is an acceptable and effective intervention to improve the static balance, dynamic balance, and ankle muscle activation in stroke patients.


2015 ◽  
Vol 27 (8) ◽  
pp. 2457-2460 ◽  
Author(s):  
Gui bin Song ◽  
Eun cho Park

2014 ◽  
Vol 26 (6) ◽  
pp. 899-903 ◽  
Author(s):  
Seok Woo Park ◽  
Kyoung Jin Lee ◽  
Doo Chul Shin ◽  
Seung Ho Shin ◽  
Myung Mo Lee ◽  
...  

2015 ◽  
Vol 27 (1) ◽  
pp. 109-113 ◽  
Author(s):  
Mi-Na Gim ◽  
Sang-bin Lee ◽  
Kyung-Tae Yoo ◽  
Ji-Young Bae ◽  
Mi-Kyoung Kim ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
pp. 95-100
Author(s):  
So Yeon Kim ◽  
Su Jin Park ◽  
Ye Eun Lee ◽  
Eun Ha Lee ◽  
Hwa Yeong Lim ◽  
...  

Summary Study aim: The purpose of this study was to confirm the effectiveness of tele-rehabilitation mental practice (TRMP) on balanc­ing performance for patients with hemiplegia. Material and methods: This study included five stroke patients, and all participants were trained to help to recover balancing performance. TRMP was applied for a total of 15 training sessions for 3 weeks, and pre- and post-intervention evaluations were carried out during this study. The Berg Balance Scale was used to confirm the balance ability, the Modified Falls Efficacy Scale to confirm the falls efficacy, and the Wii program to confirm the right and left weight distribution ratio. Results: As a result of this study, we could not confirm a significant difference between pre- and post-intervention balance ca­pacity and fall efficacy. However, weight distribution showed a significant difference after the intervention. Conclusion: TRMP may be applied in novel balance training for stroke patients.


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