StrokeNCT03184259
Interactive Exoskeleton Robot for Walking
A study testing Robotic ankle system and Robotic knee system in people with Stroke, run by Chinese University of Hong Kong at 1 site in Hong Kong.
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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Stroke
- What is being tested?
- Robotic ankle system and Robotic knee system
- Type of treatment
- Medical device
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 64 participants
- Where
- 1 siteHong Kong
- Study dates
- 12 Jul 2017to 12 Jun 2019
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- First episode of stroke,
- Hemiparesis resulting from a unilateral ischemic or hemorrhagic stroke,
- Functional Ambulation Category (FAC) > 2 out of 6, i.e. have ability to walk on the ground independently or under supervision, with or without assistive device,
- Have sufficient cognition to follow instructions and to understand the content and purpose of the study.
Who cannot join
- Uncontrolled cardiovascular or respiratory disorders,
- Moderate to serve contractures in the lower extremities,
- Orthopedic problems or muscle diseases that impair mobility,
- Difficulty to comply with the study protocol and the gait training schedule, i.e. at least 2 sessions per week.
Trial locations and contacts
1 site in 1 country.
Hong Kong1 site, 1 recruiting
- Recruiting
Department of Biomedical Engineering, The Chinese University of Hong Kong
Hong Kong
Raymond Tong, PhD, +852 3943 8454
About this study
Official title: Wearable Interactive Lower-limb Exoskeleton Robotic Device for Gait Training of Post-stroke Patients on Different Walking Conditions
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.
Read the detailed 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.
- Conditions
- Stroke
- Being tested
- Robotic ankle system, Robotic knee system
- Keywords
- Stroke, Exoskeleton Robot, Rehabilitation, Ankle Foot Orthosis, Knee Brace, Foot Drop
- Medical subject headings
- Stroke, Peroneal Neuropathies
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Robotic ankle systemDevice
Also called Ankle Robot
Patients will wear the robotic ankle system and undergo 20-minute over-ground walking and 10-minute stair walking.
Robotic knee systemDevice
Also called Knee Robot
Patients will wear the robotic knee system and undergo 20-minute over-ground walking and 10-minute stair walking.
| Study group | Role | What they receive |
|---|---|---|
| Robotic ankle system | Experimental | Subjects will wear the Ankle Robot during 20-session gait training, power assistance will be provided from the motor to the ankle joint. Receives: Device: Robotic ankle system |
| Robotic knee system | Experimental | Subjects will wear the Knee Robot during 20-session gait training, power assistance will be provided from the motor to the knee joint. Receives: Device: Robotic knee system |
| Ankle Sham group | Placebo comparator | Subjects will wear the Ankle Robot during 20-session gait training, but no power assistance will be provided from the motor to the ankle joint. Receives: Device: Robotic ankle system |
| Knee Sham group | Placebo comparator | Subjects will wear the Knee Robot during 20-session gait training, but no power assistance will be provided from the motor to the knee joint. Receives: Device: Robotic knee system |
| Health Control | No intervention | Healthy subjects will wear the Ankle Robot and/or Knee Robot during walking tasks (with or without power assistance), to collect control data for investigating if there are any effects of the robotic assistance on normal gait pattern. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Functional Ambulatory Category (FAC)
Functional Ambulatory Category (FAC) is a reliable measurement of independent walking ability on level-ground walking and stair ambulation, which is a good prediction of independent community walking post-stroke (Mehrholz, et al., 2007). FAC consists of 6-level scale: patients with FAC=4 requires supervision in level ground walking, FAC=5 requires supervision only when walking on non-level surface such as stairs.
Measured: Baseline, Post-Training, 3-month follow up
Secondary outcomes (5)
Fugl-Meyer Assessment for Lower-Extremity (FMA-LE)
Fugl-Meyer Assessment for Lower-Extremity (FMA-LE), consists of 34-level cumulative scoring system to examine lower-limb functions of hemiplegic stroke patients quantitatively through a set of lower-limb movement tasks in reflex, flexor/extensor synergy, volitional movement, coordination and speed (Fugl-Meyer, et al., 1975). All assessment items are either scoring "full", "partial", or "none" functionality in the affected side, which minimizes ceiling and floor effects. FMA-LE demonstrated high internal consistency and a reliable assessment tool for a group of 140 hemiplegic community dwelling patients (Park \& Choi, 2014).
Measured: Baseline, Post-Training, 3-month follow up
Modified Ashworth Scale (MAS)
Modified Ashworth Scale (MAS), consists of 4-level scale to examine joint spasticity based on muscle tone and resistance detected during passive stretching with good inter-rater reliability (ICC =0.85) (Bohannon \& Smith, 1987).
Measured: Baseline, Post-Training, 3-month follow up
Berg Balance Scale (BBS)
Berg Balance Scale (BBS), consists of 56-level measures to examine balance ability and to predict falling risk with high reliability (ICC=0.98) (Steffen, Hacker \& Mollinger, 2002). Stroke patients were assessed based on their performance on 14 simple mobility tasks, including transfer, standing, and reaching.
Measured: Baseline, Post-Training, 3-month follow up
Timed 10-Meter Walk Test (10mWT)
Timed 10-Meter Walk Test (10mWT), measures comfortable and fast walking speeds in short distance. The ability to increase walking speed above a comfortable pace suggests the capability to adapt to varying environments, such as crossing street, with high reliability (ICC=0.90-0.96) (Flansbjer, et al., 2005). Average walking speed of healthy elderly subjects ranges in 0.6m/s-1.4m/s, and can increase to 21%-56% above the comfortable pace for faster walking speed.
Measured: Baseline, Post-Training, 3-month follow up
6-minute Walk Test (SMWT)
Six-Minute Walk Test (SMWT), measures the maximum walking distance covered in fixed duration as a sub-maximal test of endurance and aerobic capacity. The measurement of 6MWT is highly correlated to FAC (Mehrholz, et al., 2007) with good reliability (ICC=0.94-0.96) (Steffen, Hacker \& Mollinger, 2002).
Measured: Baseline, Post-Training, 3-month follow up
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Jun 2017
- Study start12 Jul 2017
- Primary completion12 Jun 2019 (estimated)
- Study completion12 Jun 2019 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for StrokeStudies of the same condition, open and under way.
- More trials run by Chinese University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 64 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chinese University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Raymond KY Tong, Chinese University of Hong Kong
- Investigators
- Raymond Kai-yu Tong, PhD, Principal investigator, Department of Biomedical Engineering, CUHK
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03184259
- Sponsor's protocol ID
- ITT/012/16GP
- Status last verified
- Feb 2019
- First submitted
- 9 Jun 2017
- Last updated
- 18 Feb 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Yeung LF, Ockenfeld C, Pang MK, Wai HW, Soo OY, Li SW, Tong KY. Randomized controlled trial of robot-assisted gait training with dorsiflexion assistance on chronic stroke patients wearing ankle-foot-orthosis. J Neuroeng Rehabil. 2018 Jun 19;15(1):51. doi: 10.1186/s12984-018-0394-7.
PubMed 29914523Yeung LF, Ockenfeld C, Pang MK, Wai HW, Soo OY, Li SW, Tong KY. Design of an exoskeleton ankle robot for robot-assisted gait training of stroke patients. IEEE Int Conf Rehabil Robot. 2017 Jul;2017:211-215. doi: 10.1109/ICORR.2017.8009248.
PubMed 28813820Yeung LF, Lau CCY, Lai CWK, Soo YOY, Chan ML, Tong RKY. Effects of wearable ankle robotics for stair and over-ground training on sub-acute stroke: a randomized controlled trial. J Neuroeng Rehabil. 2021 Jan 29;18(1):19. doi: 10.1186/s12984-021-00814-6.
PubMed 33514393
Study at a glance
From the registry record, last updated by the sponsor on 18 Feb 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Wearable Interactive Lower-limb Exoskeleton Robotic Device for Gait Training of Post-stroke Patients on Different Walking Conditions
- ClinicalTrials.gov ID
- NCT03184259
- Acronym / sponsor ID
- ITT/012/16GP
- Conditions
- Stroke
- Keywords
- Stroke, Exoskeleton Robot, Rehabilitation, Ankle Foot Orthosis, Knee Brace, Foot Drop
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 64 participants (estimated)
- Lead sponsor
- Chinese University of Hong KongUniversity, hospital or other
- Study start
- 12 Jul 2017 (actual)
- Primary completion
- 12 Jun 2019 (estimated)
- Study completion
- 12 Jun 2019 (estimated)
- First posted
- 12 Jun 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed 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
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 5
| Arm | Type | Receives |
|---|---|---|
| Robotic ankle system | Experimental | Device: Robotic ankle systemSubjects will wear the Ankle Robot during 20-session gait training, power assistance will be provided from the motor to the ankle joint. |
| Robotic knee system | Experimental | Device: Robotic knee systemSubjects will wear the Knee Robot during 20-session gait training, power assistance will be provided from the motor to the knee joint. |
| Ankle Sham group | Placebo comparator | Device: Robotic ankle systemSubjects will wear the Ankle Robot during 20-session gait training, but no power assistance will be provided from the motor to the ankle joint. |
| Knee Sham group | Placebo comparator | Device: Robotic knee systemSubjects will wear the Knee Robot during 20-session gait training, but no power assistance will be provided from the motor to the knee joint. |
| Health Control | No intervention | –Healthy subjects will wear the Ankle Robot and/or Knee Robot during walking tasks (with or without power assistance), to collect control data for investigating if there are any effects of the robotic assistance on normal gait pattern. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- First episode of stroke,
- Hemiparesis resulting from a unilateral ischemic or hemorrhagic stroke,
- Functional Ambulation Category (FAC) > 2 out of 6, i.e. have ability to walk on the ground independently or under supervision, with or without assistive device,
- Have sufficient cognition to follow instructions and to understand the content and purpose of the study.
Key exclusion criteria (4 listed)
- Uncontrolled cardiovascular or respiratory disorders,
- Moderate to serve contractures in the lower extremities,
- Orthopedic problems or muscle diseases that impair mobility,
- Difficulty to comply with the study protocol and the gait training schedule, i.e. at least 2 sessions per week.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Robotic ankle systemAlso: Ankle RobotPatients will wear the robotic ankle system and undergo 20-minute over-ground walking and 10-minute stair walking. | Device | Ankle Sham group, Robotic ankle system |
| Robotic knee systemAlso: Knee RobotPatients will wear the robotic knee system and undergo 20-minute over-ground walking and 10-minute stair walking. | Device | Knee Sham group, Robotic knee system |
Primary outcome
Functional Ambulatory Category (FAC)
Time frame: Baseline, Post-Training, 3-month follow up
Functional Ambulatory Category (FAC) is a reliable measurement of independent walking ability on level-ground walking and stair ambulation, which is a good prediction of independent community walking post-stroke (Mehrholz, et al., 2007). FAC consists of 6-level scale: patients with FAC=4 requires supervision in level ground walking, FAC=5 requires supervision only when walking on non-level surface such as stairs.
5 secondary outcomes
Fugl-Meyer Assessment for Lower-Extremity (FMA-LE)
Time frame: Baseline, Post-Training, 3-month follow up
Modified Ashworth Scale (MAS)
Time frame: Baseline, Post-Training, 3-month follow up
Berg Balance Scale (BBS)
Time frame: Baseline, Post-Training, 3-month follow up
Timed 10-Meter Walk Test (10mWT)
Time frame: Baseline, Post-Training, 3-month follow up
6-minute Walk Test (SMWT)
Time frame: Baseline, Post-Training, 3-month follow up
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Feb 2019.
- Results publication: PubMed 29914523Yeung LF, Ockenfeld C, Pang MK, Wai HW, Soo OY, Li SW, Tong KY. Randomized controlled trial of robot-assisted gait training with dorsiflexion assistance on chronic stroke patients wearing ankle-foot-orthosis. J Neuroeng Rehabil. 2018 Jun 19;15(1):51. doi: 10.1186/s12984-018-0394-7.
- Results publication: PubMed 28813820Yeung LF, Ockenfeld C, Pang MK, Wai HW, Soo OY, Li SW, Tong KY. Design of an exoskeleton ankle robot for robot-assisted gait training of stroke patients. IEEE Int Conf Rehabil Robot. 2017 Jul;2017:211-215. doi: 10.1109/ICORR.2017.8009248.
- Derived from this study: PubMed 33514393Yeung LF, Lau CCY, Lai CWK, Soo YOY, Chan ML, Tong RKY. Effects of wearable ankle robotics for stair and over-ground training on sub-acute stroke: a randomized controlled trial. J Neuroeng Rehabil. 2021 Jan 29;18(1):19. doi: 10.1186/s12984-021-00814-6.
- Homepage of the Research TeamLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Raymond Kai-yu Tong, PhD principal investigator
Department of Biomedical Engineering, CUHK
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Robotic ankle system and Robotic knee system in people with Stroke, run by Chinese University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 18 Feb 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Raymond Kai-yu Tong, PhD (+852 3943 8454, kytong@cuhk.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Functional Ambulatory Category (FAC) (time frame: Baseline, Post-Training, 3-month follow up). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03184259, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Feb 2019.