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Clinical Trial Summary

A new lower-limb training system is introduced to enhance the clinical service for post-stroke lower limb rehabilitation and to assist the establishment of public clinical trial in different settings and share experiences on the robot-assisted functional training.


Clinical Trial Description

Stroke is caused by intracranial haemorrhage or thrombosis, which cuts off arterial supply to brain tissue and usually damages the motor pathway of the central nervous system affecting one side of the body. Reduced descending neural drive to the affected side could lead to hemiplegia, which significantly influences the activity of daily living (ADL) of stroke survivors (Singam, Ytterberg, Tham & von Koch, 2015). While the upper-limb motor impairment could be compensated using the contralateral side for picking up or manipulating objects, the loss of motor functionality on the lower limb would substantially limit the mobility and body balance. Many stroke survivors are dependent on walking aids or manual support from caregivers for standing and walking, otherwise they would have great risk of falling with serious consequences (Tasseel-Ponche, Yelnik & Bonan, 2015).

Recent studies suggest stroke patients could relearn walking ability by developing alternative neural circuitries through long-term adaptation process, known as neuroplasticity. High-intensity, repetitive, and task-specific gait training is the key to enhance gait recovery of hemiplegic stroke patients (Kreisei, Hennerici & Bäzner, 2007; Kleim & Jones, 2008). The development of robot-assisted lower-limb exoskeleton devices has great clinical potential in stroke rehabilitation. Many lower-limb exoskeleton robots are clinically-available for non-ambulatory stroke patients to practice walking with passive assistance on body-weight-supported treadmill training (BWSTT) (Morone, et al., 2017).

Existing robot-assisted gait training (RAGT) such as Lokomat and electromechanical Gait Trainer provide automatic, rhythmic, and repetitive powered assistance to major lower-limb joints at hips and knees bilaterally (Poli, Morone, Rosati & Masiero, 2013). Large-scale randomized controlled trials (RCT) of these RAGT in combination with conventional therapies show significantly more chronic stroke patients improved functional gait independency and ADL than receiving conventional therapies alone (Pohl, et al., 2007; Schwartz, et al., 2009; Hidler, et al., 2009; Mehrholz, et al., 2013). However, Hesse, Schmidt, Werner & Bardeleben (2003) suggest the integration of robots into gait rehabilitation could merely be an auxiliary tool for therapists to enhance training intensity and safety without increasing their workload. Most clinically-available RAGT are bounded to treadmill with passive assistance (van Peppen, et al., 2004; Morone, et al., 2017), but researches show task-variations and active participation in gait training could improve retention of newly-learnt skills and could promote generalization of training effects (Salbach, et al., 2004; Kwon, Woo, Lee & Kim, 2015). Portable RAGT that allows active over-ground gait training would be more promising especially for ambulatory stroke patients.

Robot-assisted ankle foot orthosis (AFO) and knee brace are good candidates of portable exoskeleton devices for RAGT of hemiplegic stroke patients (Duerinck, et al., 2012; Zhang, Davies & Xie, 2013; Mehrholz, et al., 2017). Conventional AFO is mainly designed for treating foot drop gait abnormality with passive support in ankle dorsiflexion for foot clearance in swing phase and shock absorption in loading response. Conventional knee brace is mainly designed for body support in stance phase. The integration of robot assistance in the affected ankle and/or knee joint could provide active power assistance that synchronises to patients' voluntary residual ankle and/or knee movement. Long-term active power assistance might stimulate experience-driven gait recovery or develop compensatory gait pattern to facilitate gait (Kleim & Jones, 2008).

In order to translate robotic rehabilitation research into clinical application, evidence-based clinical research should be carried out to test the safety and effectiveness of the new devices or interventions on stroke patients (Backus, Winchester & Tefertiller, 2010). Many designs of robot-assisted AFO and knee braces have been proposed by different research groups, but most of them reported only the results of feasibility tests, mainly on healthy subjects with small sample sizes (Dollar & Herr, 2008; Shorter, et al., 2013; Alam, Choudhury & Bin Mamat, 2014). Majority of previous studies concerned about the immediate effects of wearing the robot-assisted AFOs and knee braces during walking, but few studies investigated the long-term therapeutic effects of wearing the devices for RAGT of stroke patients (Lo, 2012). In particular, systematic review by Mehrholz, et al. (2017) shows only one RCT has evaluated the efficacy of ankle training using robot-assisted AFO but in seated position, no RCT evaluated gait training using robot-assisted AFO on both over-ground walking and stair ambulation.

In this study, the Exoskeleton Ankle Robot and Knee Robot have been proposed and evaluated as a robot-assisted AFO and knee brace for gait training of stroke patients with foot drop gait abnormality. Clinical application of robot-assisted AFO and knee brace on stroke patients has to overcome some important challenges, such as to reduce weight loading on the leg, and to achieve portability and adaptability to various walking environments. The Exoskeleton Ankle Robot and Knee Brace aims: (1) to provide synchronised active ankle and/or knee power assistance to facilitate walking, (2) to develop accurate and reliable method to classify user walking intention in over-ground walking and stair ambulation, (3) to deliver training protocol for RAGT of stroke patients with foot drop gait abnormality. The feasibility tests and RCT of the Exoskeleton Ankle Robot and Knee Brace could validate the clinical value of this new rehabilitation robot, and could potentially establish a new intervention of gait rehabilitation for stroke patients. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT03184259
Study type Interventional
Source Chinese University of Hong Kong
Contact Raymond Kai-yu Tong, PhD
Phone +852 3943 8454
Email kytong@cuhk.edu.hk
Status Recruiting
Phase N/A
Start date July 12, 2017
Completion date June 12, 2019

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