Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands

Aamani Budhota, Karen S G Chua, Asif Hussain, Simone Kager, Adèle Cherpin, Sara Contu, Deshmukh Vishwanath, Christopher W K Kuah, Chwee Yin Ng, Lester H L Yam, Yong Joo Loh, Deshan Kumar Rajeswaran, Liming Xiang, Etienne Burdet, Domenico Campolo, Aamani Budhota, Karen S G Chua, Asif Hussain, Simone Kager, Adèle Cherpin, Sara Contu, Deshmukh Vishwanath, Christopher W K Kuah, Chwee Yin Ng, Lester H L Yam, Yong Joo Loh, Deshan Kumar Rajeswaran, Liming Xiang, Etienne Burdet, Domenico Campolo

Abstract

Post stroke upper limb rehabilitation is a challenging problem with poor outcomes as 40% of survivors have functionally useless upper limbs. Robot-aided therapy (RAT) is a potential method to alleviate the effort of intensive, task-specific, repetitive upper limb exercises for both patients and therapists. The present study aims to investigate how a time matched combinatory training scheme that incorporates conventional and RAT, using H-Man, compares with conventional training toward reducing workforce demands. In a randomized control trial (NCT02188628, www.clinicaltrials.gov), 44 subacute to chronic stroke survivors with first-ever clinical stroke and predominant arm motor function deficits were recruited and randomized into two groups of 22 subjects: Robotic Therapy (RT) and Conventional Therapy (CT). Both groups received 18 sessions of 90 min; three sessions per week over 6 weeks. In each session, participants of the CT group received 90 min of 1:1 therapist-supervised conventional therapy while participants of the RT group underwent combinatory training which consisted of 60 min of minimally-supervised H-Man therapy followed by 30 min of conventional therapy. The clinical outcomes [Fugl-Meyer (FMA), Action Research Arm Test and, Grip Strength] and the quantitative measures (smoothness, time efficiency, and task error, derived from two robotic assessment tasks) were independently evaluated prior to therapy intervention (week 0), at mid-training (week 3), at the end of training (week 6), and post therapy (week 12 and 24). Significant differences within group were observed at the end of training for all clinical scales compared with baseline [mean and standard deviation of FMA score changes between baseline and week 6; RT: Δ4.41 (3.46) and CT: Δ3.0 (4.0); p < 0.01]. FMA gains were retained 18 weeks post-training [week 24; RT: Δ5.38 (4.67) and week 24 CT: Δ4.50 (5.35); p < 0.01]. The RT group clinical scores improved similarly when compared to CT group with no significant inter-group at all time points although the conventional therapy time was reduced to one third in RT group. There were no training-related adverse side effects. In conclusion, time matched combinatory training incorporating H-Man RAT produced similar outcomes compared to conventional therapy alone. Hence, this study supports a combinatory approach to improve motor function in post-stroke arm paresis. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02188628.

Keywords: assessment; randomized control trial; robotic rehabilitation; stroke; upper limb.

Conflict of interest statement

AH and DC hold equity positions in ARTICARES Pte. Ltd., a company that manufactures the type of technology used under license from Nanyang Technological University, Singapore. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2021 Budhota, Chua, Hussain, Kager, Cherpin, Contu, Vishwanath, Kuah, Ng, Yam, Loh, Rajeswaran, Xiang, Burdet and Campolo.

Figures

Figure 1
Figure 1
CONSORT diagram.
Figure 2
Figure 2
(A) Subject using the latest version of H-Man, a novel and compact upper limb rehabilitation and assessment robot. (B) Representation of the assessment task protocols for subjects using the left and the right hand, with direction notations. (C) Representation of the visual stimuli used for the line tracing task. (D) Visual stimuli of the circle tracing task.
Figure 3
Figure 3
Changes in clinical outcome measures from baseline assessment across sessions. The changes in clinical measures over 24 weeks in comparison with the baseline assessment (week 0) are presented. Median and standard error of the changes in: (A) FMA, (B) ARAT, and (C) GS for the robotic therapy (RT) and conventional therapy (CT) groups are shown. The * signifies that the changes compared to baseline are significant (p < 0.05). Wk, week. The indicated p-value corresponds to the between treatment group differences in clinical scale changes compared to baseline at each assessment session.
Figure 4
Figure 4
Distribution of quantitative measures across sessions in the line tracing assessment (A–C) and in the circle tracing assessment tasks (D–F). Median and standard error of: smoothness, measured by SPARC; temporal efficiency, measured by normalized time to peak velocity (TpeakN_Abs); and task deviation error, measured by Length of Curves (LOC) across the five assessment sessions are shown. The * signifies that the scores are significantly different from the baseline scores (p < 0.05). The ◇ signifies a significant difference in the changes of robotic measures between both groups (p < 0.05). Wk, week.

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