Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial

Abstract Background Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining f...

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Main Authors: Ananda Sidarta, Yu Chin Lim, Christopher Wee Keong Kuah, Yong Joo Loh, Wei Tech Ang
Format: Article
Language:English
Published: BMC 2021-11-01
Series:Pilot and Feasibility Studies
Subjects:
Online Access:https://doi.org/10.1186/s40814-021-00948-3
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author Ananda Sidarta
Yu Chin Lim
Christopher Wee Keong Kuah
Yong Joo Loh
Wei Tech Ang
author_facet Ananda Sidarta
Yu Chin Lim
Christopher Wee Keong Kuah
Yong Joo Loh
Wei Tech Ang
author_sort Ananda Sidarta
collection DOAJ
description Abstract Background Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining focusing on proprioception and kinaesthesia is often overlooked. Interventions that simultaneously target motor and somatosensory components are thought to be useful for relearning somatosensory functions while increasing mobility of the affected limb. For over a decade, robotic technology has been incorporated in stroke rehabilitation for more controlled therapy intensity, duration, and frequency. This pilot randomised controlled trial introduces a compact robotic-based upper-limb reaching task that retrains proprioception and kinaesthesia concurrently. Methods Thirty first-ever chronic stroke survivors (> 6-month post-stroke) will be randomly assigned to either a treatment or a control group. Over a 5-week period, the treatment group will receive 15 training sessions for about an hour per session. Robot-generated haptic guidance will be provided along the movement path as somatosensory cues while moving. Audio-visual feedback will appear following every successful movement as a reward. For the same duration, the control group will complete similar robotic training but without the vision occluded and robot-generated cues. Baseline, post-day 1, and post-day 30 assessments will be performed, where the last two sessions will be conducted after the last training session. Robotic-based performance indices and clinical assessments of upper limb functions after stroke will be used to acquire primary and secondary outcome measures respectively. This work will provide insights into the feasibility of such robot-assisted training clinically. Discussion The current work presents a study protocol to retrain upper-limb somatosensory and motor functions using robot-based rehabilitation for community-dwelling stroke survivors. The training promotes active use of the affected arm while at the same time enhances somatosensory input through augmented feedback. The outcomes of this study will provide preliminary data and help inform the clinicians on the feasibility and practicality of the proposed exercise. Trial registration ClinicalTrials.gov NCT04490655 . Registered 29 July 2020.
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spelling doaj.art-ed21e3b7060c4fb183862b679b7470b12022-12-21T23:08:13ZengBMCPilot and Feasibility Studies2055-57842021-11-017111110.1186/s40814-021-00948-3Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trialAnanda Sidarta0Yu Chin Lim1Christopher Wee Keong Kuah2Yong Joo Loh3Wei Tech Ang4Rehabilitation Research Institute of Singapore, Nanyang Technological UniversityRehabilitation Research Institute of Singapore, Nanyang Technological UniversityRehabilitation Research Institute of Singapore, Nanyang Technological UniversityRehabilitation Research Institute of Singapore, Nanyang Technological UniversityRehabilitation Research Institute of Singapore, Nanyang Technological UniversityAbstract Background Prior studies have established that senses of the limb position in space (proprioception and kinaesthesia) are important for motor control and learning. Although nearly one-half of stroke patients have impairment in the ability to sense their movements, somatosensory retraining focusing on proprioception and kinaesthesia is often overlooked. Interventions that simultaneously target motor and somatosensory components are thought to be useful for relearning somatosensory functions while increasing mobility of the affected limb. For over a decade, robotic technology has been incorporated in stroke rehabilitation for more controlled therapy intensity, duration, and frequency. This pilot randomised controlled trial introduces a compact robotic-based upper-limb reaching task that retrains proprioception and kinaesthesia concurrently. Methods Thirty first-ever chronic stroke survivors (> 6-month post-stroke) will be randomly assigned to either a treatment or a control group. Over a 5-week period, the treatment group will receive 15 training sessions for about an hour per session. Robot-generated haptic guidance will be provided along the movement path as somatosensory cues while moving. Audio-visual feedback will appear following every successful movement as a reward. For the same duration, the control group will complete similar robotic training but without the vision occluded and robot-generated cues. Baseline, post-day 1, and post-day 30 assessments will be performed, where the last two sessions will be conducted after the last training session. Robotic-based performance indices and clinical assessments of upper limb functions after stroke will be used to acquire primary and secondary outcome measures respectively. This work will provide insights into the feasibility of such robot-assisted training clinically. Discussion The current work presents a study protocol to retrain upper-limb somatosensory and motor functions using robot-based rehabilitation for community-dwelling stroke survivors. The training promotes active use of the affected arm while at the same time enhances somatosensory input through augmented feedback. The outcomes of this study will provide preliminary data and help inform the clinicians on the feasibility and practicality of the proposed exercise. Trial registration ClinicalTrials.gov NCT04490655 . Registered 29 July 2020.https://doi.org/10.1186/s40814-021-00948-3ProprioceptionKinaesthesiaRobot-assisted trainingHaptic guidanceReward feedback
spellingShingle Ananda Sidarta
Yu Chin Lim
Christopher Wee Keong Kuah
Yong Joo Loh
Wei Tech Ang
Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
Pilot and Feasibility Studies
Proprioception
Kinaesthesia
Robot-assisted training
Haptic guidance
Reward feedback
title Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
title_full Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
title_fullStr Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
title_full_unstemmed Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
title_short Robotic-based ACTive somatoSENSory (Act.Sens) retraining on upper limb functions with chronic stroke survivors: study protocol for a pilot randomised controlled trial
title_sort robotic based active somatosensory act sens retraining on upper limb functions with chronic stroke survivors study protocol for a pilot randomised controlled trial
topic Proprioception
Kinaesthesia
Robot-assisted training
Haptic guidance
Reward feedback
url https://doi.org/10.1186/s40814-021-00948-3
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