Effects of Home-Based Robotic Therapy Involving the Single-Joint Hybrid Assistive Limb Robotic Suit in the Chronic Phase of Stroke: A Pilot Study

Introduction. Robotic therapy has drawn attention in the rehabilitation field including home-based rehabilitation. A previous study has reported that home-based therapy could be more effective for increasing upper limb activity than facility-based therapy. The single-joint hybrid assistive limb (HAL-SJ) is an exoskeleton robot developed according to the interactive biofeedback theory, and several studies have shown its effectiveness for upper limb function in stroke patients. A study of home-based robotic therapy has shown to enhance rehabilitation effectiveness for stroke patient with a paretic upper limb. However, home-based therapy involving a HAL-SJ in stroke patients with paretic upper limbs has not been investigated. The present study aimed to investigate paretic upper limb activity and function with home-based robotic therapy involving a HAL-SJ in stroke patients. Materials and Methods. A home-based robotic therapy program involving a HAL-SJ was performed for 30 min per session followed by standard therapy for 30 min per session, 2 times a week, for 4 weeks (i.e., completion of all 8 sessions involved 8 h of rehabilitation), at home. After the intervention, patients were followed up by telephone and home visits for 8 weeks. The paretic upper limb activity and function were assessed using the Motor Activity Log (MAL; amount of use (AOU)), arm triaxial accelerometry (laterality index (LI)), the Fugl–Meyer assessment (FMA), and the action research arm test (ARAT), at baseline and week 4 and week 12 after the start of training. Results. The study included 10 stroke patients (5 men; mean age, 61.1 ± 7.1 years). The AOU scores and LI significantly improved at week 4 after the start of training (p<0.05). However, no significant changes were observed in the LI at week 12 (p=0.161) and the FMA scores at both week 4 and week 12 (p=0.059 and p=0.083, respectively). The ARAT scores significantly improved at both week 4 and week 12 (p<0.05). Conclusion. Home-based robotic therapy combined with conventional therapy could be a valuable approach for increasing paretic upper limb activity and maintaining paretic upper limb function in the chronic phase of stroke.

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Home-based telerehabilitation shows improved upper limb function in adults with chronic stroke: A pilot study

Journal of Rehabilitation Medicine ◽

10.2340/16501977-1115 ◽

2013 ◽

Vol 45 (2) ◽

pp. 217-220 ◽

Cited By ~ 40

Author(s):

J Langan ◽

K DeLave ◽

L Phillips ◽

P Pangilinan ◽

S Brown

Keyword(s):

Pilot Study ◽

Upper Limb ◽

Chronic Stroke ◽

Limb Function ◽

Upper Limb Function ◽

Home Based

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ICT for home-based service to maintain the upper limb function in ageing

Gerontechnology ◽

10.4017/gt.2008.07.02.137.00 ◽

2008 ◽

Vol 7 (2) ◽

Author(s):

M. Rogante ◽

M. Bernabeau ◽

C. Giacomozzi ◽

H. Hermens ◽

B. Huijgen ◽

...

Keyword(s):

Upper Limb ◽

Limb Function ◽

Upper Limb Function ◽

Home Based

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Drinking Behavior Training for Stroke Patients Using Action Observation and Practice of Upper Limb Function

Journal of Physical Therapy Science ◽

10.1589/jpts.25.611 ◽

2013 ◽

Vol 25 (5) ◽

pp. 611-614 ◽

Cited By ~ 16

Author(s):

Daehee Lee ◽

Hyolyun Roh ◽

Jungseo Park ◽

Sangyoung Lee ◽

Seulki Han

Keyword(s):

Upper Limb ◽

Action Observation ◽

Drinking Behavior ◽

Stroke Patients ◽

Limb Function ◽

Upper Limb Function

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Adopting Literature-based Discovery on Rehabilitation Therapy Repositioning for Stroke

10.1101/422154 ◽

2018 ◽

Author(s):

Guilin Meng ◽

Yong Huang ◽

Qi Yu ◽

Ying Ding ◽

David Wild ◽

...

Keyword(s):

Text Mining ◽

Upper Limb ◽

Clinical Validation ◽

Abc Model ◽

Stroke Patients ◽

Limb Function ◽

Rehabilitation Therapy ◽

Upper Limb Function ◽

Literature Based Discovery ◽

Assessment Scales

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.

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