CUHK Jockey Club HOPE 4 Care Programme - Ankle Robot
CUHK Jockey Club Tech-Based Stroke Rehabilitation Programme for Elderly Centre - Interactive Exoskeleton Ankle Robot
1 other identifier
interventional
120
1 country
1
Brief Summary
The Hong Kong Jockey Club Charities Trust has supported CUHK to launch a three-year project 'CUHK Jockey Club HOPE4Care Programme' to implement four evidence-based advanced rehabilitation technologies in 40 local elderly day care centres and rehabilitation centres, to benefit the community. The Exoskeleton Ankle Robot is a robot-assisted Ankle-Foot-Orthosis to facilitate gait training of person after stroke with drop foot.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable stroke
Started Feb 2019
Typical duration for not_applicable stroke
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 20, 2018
CompletedFirst Posted
Study publicly available on registry
January 17, 2019
CompletedStudy Start
First participant enrolled
February 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2021
CompletedJanuary 17, 2019
January 1, 2019
2.9 years
December 20, 2018
January 15, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Fugl-Meyer Assessment Lower Extremity (FMA-LE)
3-month follow-up
Secondary Outcomes (5)
Functional Ambulation Classification (FAC)
3-month follow-up
Modified Ashworth Scale (MAS)
3-month follow-up
Berg Balance Scale (BBS)
3-month follow-up
Timed 10-Meter Walk Test (10MWT)
3-month follow-up
6 Minute Walk Test (6MWT)
3-month follow-up
Study Arms (1)
Ankle Group
EXPERIMENTALIntegrated with force and motion sensors to identify gait phase and classify user walking intention using machine learning control algorithm.
Interventions
Provide sensory feedback to help subjects relearn how to walk in correct gait pattern.
Eligibility Criteria
You may qualify if:
- have the ability to walk on the ground independently or with one personal assistance with or without walking aids
- able to understand simple commends
You may not qualify if:
- have other neurological, neuromuscular, and orthopedic diseases
- uncontrolled cardiovascular or respiratory disorders
- moderate to severe contractures in the lower extremities
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Biomedical Engineering, The Chinese University of Hong Kong
Hong Kong, Hong Kong
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Raymond Tong, PhD
Department of Biomedical Engineering, CUHK
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor and Chairman
Study Record Dates
First Submitted
December 20, 2018
First Posted
January 17, 2019
Study Start
February 1, 2019
Primary Completion
December 31, 2021
Study Completion
December 31, 2021
Last Updated
January 17, 2019
Record last verified: 2019-01
Data Sharing
- IPD Sharing
- Will not share