|
KMID : 1195020190150020095
|
|
Archives of Orthopedic and Sports Physical Therapy
2019 Volume.15 No. 2 p.95 ~ p.100
|
|
|
The Effect of IoT-based Upper and Lower Extremity Rehabilitation Medical Device Training on Gait in Chronic Stroke Survivor: A Case Study
|
|
Seong Ji-Won
Cho Young-Chae
Seo Eun-Young
Kim Rock-Hyun
Yoon Bum-Chul
|
|
|
Abstract
|
|
|
Purpose: For stroke survivors, abnormal gait patterns lead to a significant risk of falls. We have recentlydeveloped an IoT-based Upper and Lower Extremity Rehabilitation Medical Device (RoBoGat) that enablescontinuous passive motion (CPM) training, squat training (ST), and gait training (GT). The purpose of thisstudy was to test the effectiveness of RoBoGat on gait in a chronic stroke survivor.
Methods: In this study, an individual with right-side chronic hemiparesis post-stroke participated. Theparticipant underwent 14 days of RoBoGat training that involved continuous passive motion training, squattraining, and gait training. During the training, knee and hip joint angles were adjusted within the range wherethe subject felt no pain. We assessed gait, timed up and go test, and visual analog scale at baseline andafter first and final interventions.
Results: After the intervention, positive changes were observed such as stride, gait velocity, and loadingphase. Improvements were also observed in timed up and go tests. However, there was no significant changein VAS, which assessed pain in training and daily life.
Conclusion: The main finding of this case-control study is that robot-based upper and lower extremity trainingmay be a feasible approach in the neurorehabilitation field. It can be concluded that repetitive and continuousrobot rehabilitation exercises have a positive effect on improving the physical function of chronic strokesurvivors.
|
|
|
KEYWORD
|
|
|
Chronic stroke, Gait, Timed up and go test, Visual analog scale, ROBOGAT
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|