Gait Pattern Analysis and Feasibility of Gait Training With a Walking Assist Robot in Stroke Patients and Elderly Adults
1 other identifier
interventional
56
1 country
1
Brief Summary
The purpose of this study was to investigate the effects of the new wearable hip assist robot developed by Samsung Advanced Institute of Technology (Samsung Electronics Co, Ltd., Korea) to gait rehabilitation in elderly adults and stroke patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable stroke
Started Jan 2016
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
Study Start
First participant enrolled
January 2, 2016
CompletedFirst Submitted
Initial submission to the registry
July 14, 2016
CompletedFirst Posted
Study publicly available on registry
July 26, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2017
CompletedApril 10, 2019
April 1, 2019
1.7 years
July 14, 2016
April 8, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in 10 meter walk test from baseline in gait speed
Measure of self selected speeds by measuring the time it takes an individual to walk 10 meters. To perform the test, patient walks 10 meters (33 ft) and the time is measured when the leading foot crosses the start line and the finish line. The instructions are: "Please walk this distance at your normal pace when I say go."
session 0 (initial visit); session 11 (at approximately 4 weeks)
Secondary Outcomes (9)
Berg Balance Scale (BBS)
session 0 (initial visit); session 11 (at approximately 4 weeks)
Tinetti performance oriented mobility assessment (POMA)
session 0 (initial visit); session 11 (at approximately 4 weeks)
Modified Bathel index (MBI)
session 0 (initial visit); session 11 (at approximately 4 weeks)
Modified Rankin Scale (MRS)
session 0 (initial visit); session 11 (at approximately 4 weeks)
Functional Ambulation Classification (FAC)
session 0 (initial visit); session 11 (at approximately 4 weeks)
- +4 more secondary outcomes
Study Arms (2)
Samsung Hip Assist v1
EXPERIMENTALgait rehabilitation with Samsung Hip Assist v1 10 sessions (5sessions - treadmill gait training / 5sessions - overground gait training), 30 min per session
Conventional gait training
ACTIVE COMPARATORgait rehabilitation without Samsung Hip Assist v1 10 sessions (5sessions - treadmill gait training / 5sessions - overground gait training), 30 min per session
Interventions
Participants will participate in 10 sessions of gait rehabilitation with Samsung Hip Assist v1 (5sessions-treadmill gait training / 5sessions-overground gait training), 30min per session
Participants will participate in 10 sessions of gait rehabilitation without Samsung Hip Assist v1 (5sessions-treadmill gait training / 5sessions-overground gait training), 30min per session
Eligibility Criteria
You may qualify if:
- Elderly adults
- Age: between 65 and 84 years
- elderly adults who had no neurological or musculoskeletal abnormalities affecting gait
- Ability to walk at least 10m regardless of assist devices
- High levels of physical performance (SPPB \> 7)
- Subject is willing to be randomized to the control group or the treatment group
- Stroke
- Age: between 50 and 84 years
- ≥ 3 months post stroke
- Ability to walk at least 10m regardless of assist devices
- Adequate gait function (FAC \> 3)
- Physician approval for patient participation
- Subject is willing to be randomized to the control group or the treatment group
You may not qualify if:
- Elderly adults
- History of any diseases (eg. lower extremity orthopedic diseases, neurologic disorders, cardiovascular disease, heart failure, uncontrolled hypertension that affect walking capacity, efficiency, and endurance)
- Severe visual impairment or dizziness that increases the risk of falls
- Stroke
- Serious cardiac conditions (hospitalization for myocardial infarction or heart surgery within 3 months, history of congestive heart failure, documented serious and unstable cardiac arrhythmias, hypertrophic cardiomyopathy, severe aortic stenosis, angina or dyspnea at rest or during activities of daily living)
- Advanced liver, kidney, cardiac, or pulmonary disease
- History of concussion in last 6 months
- History of unexplained, recurring headaches, epilepsy/seizures/skull fractures or skull deficits
- Preexisting neurological disorders such as Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis (MS), dementia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Samsung Medical Centerlead
- Samsung Electronicscollaborator
Study Sites (1)
Samsung Medical Center
Seoul, South Korea
Related Publications (2)
Lee HJ, Lee SH, Seo K, Lee M, Chang WH, Choi BO, Ryu GH, Kim YH. Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled Trial. Stroke. 2019 Dec;50(12):3545-3552. doi: 10.1161/STROKEAHA.119.025950. Epub 2019 Oct 18.
PMID: 31623545DERIVEDLee SH, Lee HJ, Chang WH, Choi BO, Lee J, Kim J, Ryu GH, Kim YH. Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults. J Neuroeng Rehabil. 2017 Nov 28;14(1):123. doi: 10.1186/s12984-017-0333-z.
PMID: 29183379DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Yun-Hee Kim, MD, PhD
Samsung Medical Center
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor, MD, PhD
Study Record Dates
First Submitted
July 14, 2016
First Posted
July 26, 2016
Study Start
January 2, 2016
Primary Completion
August 30, 2017
Study Completion
September 1, 2017
Last Updated
April 10, 2019
Record last verified: 2019-04
Data Sharing
- IPD Sharing
- Will not share