scholarly journals The Effect of Applying Robot-Assisted Task-Oriented Training Using Human-Robot Collaborative Interaction Force Control Technology on Upper Limb Function in Stroke Patients: Preliminary Findings

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qingming Qu ◽  
Yingnan Lin ◽  
Zhijie He ◽  
Jianghong Fu ◽  
Fei Zou ◽  
...  

Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide. Many stroke survivors have difficulty using their upper limbs, which have important functional roles in the performance of daily life activities. Consequently, the independence and quality of life of most stroke patients are reduced. Robot-assisted therapy is an effective intervention for improving the upper limb function of individuals with stroke. Human-robot collaborative interaction force control technology is critical for improving the flexibility and followability of the robot’s motion, thereby improving rehabilitation training outcomes. However, there are few reports on the effect of robot-assisted rehabilitative training on upper limb function. We applied this technology using a robot to assist patients with task-oriented training. Posttreatment changes in Fugl-Meyer and modified Barthel index (MBI) scores were assessed to determine whether this technology could improve the upper limb function of stroke patients. One healthy adult and five stroke patients, respectively, participated in functional and clinical experiments. The MBI and Fugl-Meyer scores of the five patients in the clinical experiments showed significant improvements after the intervention. The experimental results indicate that human-robot collaborative interaction force control technology is valuable for improving robots’ properties and patients’ recovery. This trial was registered in the Chinese clinical trial registry (ChiCTR2000038676).

Author(s):  
DAESEOK YOON ◽  
SEUNGBOK LEE ◽  
SANG-HYUN CHO ◽  
HAEYEAN PARK ◽  
JONGBAE KIM

The objective of this research study was to investigate the effect of patient-centered robot-assisted intervention for upper limb function improvement in stroke patients. Design: A double-blind randomized controlled trial. Intervention: Subjectively preferred areas of need for performing daily activities were identified by pre-interviewing and applied as target goals in the experimental group using a robotic device. Control-1 underwent a program focused on the robot system involving movements of upper limb joints. Control-2 participated in a conventional rehabilitation program. Methods: Forty-five participants engaged in 60 min of daily therapy, five times weekly for 3 weeks. The experimental group used the Canadian occupational performance measure (COPM) to identify subjectively preferred “patient-centered” focus needed areas to perform robotic device aided daily activities. Control-1 used a robot device-focused rehabilitation involving upper limb joint movements. Control-2 participated in conventional rehabilitation. Pre-post intervention measurements of hand, grip, power, and upper limb ROM were acquired by FMA-UE, MFT, and K-MBI. Results: A significant increase of function in the experimental group was observed in each subclass of function and activities of daily living (ADL) performance. Control-1 showed an increase in function without ADL improvement. Control-2 showed an increase in ADL and proximal areas of upper limb function without an increase in other areas. Conclusion: The “patient-centered” approach significantly improved upper limb function and ADL performance compared to “robot-centered” rehabilitation. Further studies are warranted to confirm these results and for generalizability in clinical application.


2020 ◽  
Vol 60 (4) ◽  
pp. 217-222
Author(s):  
Kazuya SAITA ◽  
Takashi MORISHITA ◽  
Koichi HYAKUTAKE ◽  
Toshiyasu OGATA ◽  
Hiroyuki FUKUDA ◽  
...  

2013 ◽  
Vol 25 (5) ◽  
pp. 611-614 ◽  
Author(s):  
Daehee Lee ◽  
Hyolyun Roh ◽  
Jungseo Park ◽  
Sangyoung Lee ◽  
Seulki Han

2018 ◽  
Author(s):  
Guilin Meng ◽  
Yong Huang ◽  
Qi Yu ◽  
Ying Ding ◽  
David Wild ◽  
...  

AbstractStroke is a common disabling disease severely affecting the daily life of the patients. There is evidence that rehabilitation therapy can improve the movement function. However, there are no clear guidelines that identify specific, effective rehabilitation therapy schemes, and the development of new rehabilitation techniques has been fairly slow. One informatics translational approach, called ABC model in Literature-based Discovery, was used to mine an existing rehabilitation candidate which is most likely to be repositioned for stroke. As in the classic ABC model originated from Don Swanson, we built the internal links of stroke (A), assessment scales (B), rehabilitation therapies (C) in PubMed relating to upper limb function measurements for stroke patients. In the first step, with E-utility we retrieved both stroke related assessment scales and rehabilitation therapies records, and complied two datasets called Stroke_Scales and Stroke_Therapies, respectively. In the next step, we crawled all rehabilitation therapies co-occurred with the Stroke_Theapies, named as All_Therapies. Therapies that were already included in Stroke_Therapies were deleted from All_Therapies, so that the remaining therapies were the potential rehabilitation therapies, which could be repositioned for stroke after subsequent filtration by manual check. We identified the top ranked repositioning rehabilitation therapy following by subsequent clinical validation. Hand-arm bimanual intensive training (HABIT) ranked the first in our repositioning rehabilitation therapies list, with the most interaction links with Stroke_Scales. HABIT showed a significant improvement in clinical scores on assessment scales of Fugl-Meyer Assessment and Action Research Arm Test in the clinical validation on upper limb function for acute stroke patients. Based on the ABC model and clinical validation of the results, we put forward that HABIT as a promising rehabilitation therapy for stroke, which shows that the ABC model is an effective text mining approach for rehabilitation therapy repositioning. The results seem to be promoted in clinical knowledge discovery.Author SummaryIn the present study, we proposed a text mining approach to mining terms related to disease, rehabilitation therapy, and assessment scale from literature, with a subsequent ABC inference analysis to identify relationships of these terms across publications. The clinical validation demonstrated that our approach can be used to identify potential repositioning rehabilitation therapy strategies for stroke. Specifically, we identified a promising rehabilitation method called HABIT previously used in pediatric congenital hemiplegia. A subsequent clinical trial confirmed this as a highly promising rehabilitation therapy for stroke.


2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Marialuisa Gandolfi ◽  
Emanuela Formaggio ◽  
Christian Geroin ◽  
Silvia Francesca Storti ◽  
Ilaria Boscolo Galazzo ◽  
...  

Background. Bilateral arm training (BAT) has shown promise in expediting progress toward upper limb recovery in chronic stroke patients, but its neural correlates are poorly understood.Objective. To evaluate changes in upper limb function and EEG power after a robot-assisted BAT in chronic stroke patients.Methods. In a within-subject design, seven right-handed chronic stroke patients with upper limb paresis received 21 sessions (3 days/week) of the robot-assisted BAT. The outcomes were changes in score on the upper limb section of the Fugl-Meyer assessment (FM), Motricity Index (MI), and Modified Ashworth Scale (MAS) evaluated at the baseline (T0), posttraining (T1), and 1-month follow-up (T2). Event-related desynchronization/synchronization were calculated in the upper alpha and the beta frequency ranges.Results. Significant improvement in all outcomes was measured over the course of the study. Changes in FM were significant at T2, and in MAS at T1and T2. After training, desynchronization on the ipsilesional sensorimotor areas increased during passive and active movement, as compared with T0.Conclusions. A repetitive robotic-assisted BAT program may improve upper limb motor function and reduce spasticity in the chronically impaired paretic arm. Effects on spasticity were associated with EEG changes over the ipsilesional sensorimotor network.


2017 ◽  
Vol 27 (5) ◽  
pp. 46
Author(s):  
Yannan CHEN ◽  
Xiaoqiong LIN ◽  
Wenxia ZHANG ◽  
Cui'e FENG ◽  
Jinxiu CHEN

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