Effects of Overground Robot-Assisted Gait Training on Stroke-Related Sarcopenia
oRAGT-PSS
1 other identifier
interventional
53
1 country
1
Brief Summary
This single-center randomized controlled trial evaluates the effects of combining overground robot-assisted gait training (o-RAGT) with recumbent cycling (RC) compared with RC alone in patients with subacute stroke at risk of sarcopenia. The study examines changes in muscle characteristics (muscle mass and quality), falls efficacy, and physical function following a 4-week intervention. Participants are randomly assigned to receive either combined o-RAGT and RC or RC alone. The findings aim to inform the potential role of overground robot-assisted gait training as an adjunctive intervention in stroke rehabilitation.
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 Jun 2025
Shorter than P25 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
March 17, 2025
CompletedFirst Posted
Study publicly available on registry
April 4, 2025
CompletedStudy Start
First participant enrolled
June 9, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 21, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2025
CompletedMay 1, 2026
April 1, 2026
6 months
March 17, 2025
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Change in Muscle Quality
Muscle quality will be assessed using the FITTO MQ device (Olive Healthcare, Seoul, Republic of Korea), which is based on discrete multi-wavelength near-infrared spectroscopy (DMW-NIRS). The device emits near-infrared light (650-1,100 nm) and analyzes reflected signals to estimate intramuscular composition, generating a muscle quality index (MQI). Measurements will be performed bilaterally at five muscle sites according to the standardized scan guide: erector spinae, rectus femoris, vastus lateralis, semitendinosus, and gastrocnemius. Each site will be measured twice on both the paretic and non-paretic sides, and the mean MQI value will be used for analysis. Higher MQI values indicate better muscle quality. Assessments will be conducted at baseline and after the 4-week intervention period.
Baseline and 4 weeks
Change in Fall Efficacy (K-FES-I)
Falls efficacy will be evaluated using the Korean version of the Falls Efficacy Scale-International (K-FES-I). The K-FES-I is a validated self-reported questionnaire consisting of 16 items rated on a 4-point Likert scale, assessing concern about falling during daily activities. Although higher scores on the original scale indicate greater concern about falling, total scores will be reverse-coded for analysis in this study so that higher scores represent greater falls efficacy (i.e., less concern about falling and greater confidence during daily activities). The total score ranges from 16 to 64. Assessments will be conducted at baseline (Week 0) and after completion of the 4-week intervention (Week 4).
Baseline and 4 weeks
Change in Skeletal Muscle Mass Index (SMI)
Skeletal muscle mass index (SMI) will be assessed using multi-frequency bioelectrical impedance analysis (BIA) with the ACCUNIQ BC720 system (T-SCAN PLUS III; SELVAS Healthcare, Seoul, Republic of Korea). This device applies electrical currents across a frequency range of 1-1,000 kHz to estimate whole-body and appendicular body composition, including skeletal muscle mass. Appendicular skeletal muscle mass (ASM) will be calculated as the sum of lean mass from both upper and lower extremities. SMI will be derived using the following formula: SMI (kg/m²) = ASM (kg) / height² (m²). Measurements will be conducted under standardized conditions with participants standing independently. Each participant will be measured twice, and the mean value will be used for analysis. Assessments will be performed at baseline and after the 4-week intervention period. Higher SMI values indicate greater skeletal muscle mass.
Baseline and 4 weeks
Secondary Outcomes (5)
Change in Short Physical Performance Battery (SPPB) Score
Baseline and 4 weeks
Change in Timed Up and Go Test (TUG)
Baseline and 4 weeks
Change in Fugl-Meyer Assessment (FMA) Lower Extremity Score
Baseline and 4 weeks
Change in 6-Minute Walk Test (6MWT)
Baseline and 4 weeks
Change in Handgrip Strength
Baseline and 4 weeks
Study Arms (2)
o-RAGT + Recumbent Bicycle Training
EXPERIMENTALParticipants in the experimental group received a combined intervention consisting of 30 minutes of overground robot-assisted gait training (o-RAGT) followed by 30 minutes of recumbent bicycle (RC) training. The o-RAGT was performed using the Angel Legs M20 wearable exoskeleton. The intervention was conducted five sessions per week for a total of 4 weeks (20 sessions).
Recumbent Bicycle Training Only
ACTIVE COMPARATORParticipants in the control group received 60 minutes of recumbent bicycle (RC) training alone to match the total exercise duration of the experimental group. The training was conducted five sessions per week for a total of 4 weeks (20 sessions).
Interventions
This intervention consists of overground robot-assisted gait training (o-RAGT) performed using the Angel Legs M20 wearable exoskeleton (Angel Robotics, Seoul, Republic of Korea). Participants perform structured overground walking practice with robotic assistance during scheduled training sessions. The device is used to support repetitive, task-specific overground gait practice under supervised clinical conditions.
Participants perform recumbent bicycle training using a stationary recumbent cycle ergometer (DRAX TBR9000, Republic of Korea). Training is conducted in a seated position with lower-extremity pedaling at a prescribed intensity. Each session is performed according to the study protocol under supervised clinical conditions.
Eligibility Criteria
You may qualify if:
- Participants must meet all of the following criteria:
- Diagnosis of stroke within 6 months of onset (subacute phase), corresponding to the active neurological recovery period.
- Classified as having possible sarcopenia according to the Asian Working Group for Sarcopenia (AWGS 2019) algorithm, defined by:
- A positive SARC-F screening, and
- Either reduced handgrip strength (men \<28 kg, women \<18 kg) or reduced physical performance (SPPB score \<9).
- Height between 140 and 190 cm and body weight ≤80 kg, meeting the mechanical fitting requirements of the overground wearable gait robot used in this study.
- Functional Ambulation Category (FAC) score ≥1, indicating the ability to attempt ambulation with at least minimal assistance.
- Korean version of the Mini-Mental State Examination (MMSE-K) score ≥24, indicating sufficient cognitive ability to understand instructions and participate in training.
- Currently admitted for inpatient rehabilitation at a rehabilitation hospital in Seoul, Republic of Korea.
- Ability and willingness to provide written informed consent after receiving a full explanation of the study procedures, potential risks, and benefits.
You may not qualify if:
- Participants will be excluded if they meet any of the following criteria:
- Presence of severe cardiovascular disease (e.g., unstable angina, heart failure, recent myocardial infarction) or acute medical infection that contraindicates exercise-based interventions.
- Musculoskeletal conditions that preclude safe participation in robotic gait training or recumbent cycling, including:
- Lower extremity fractures,
- Severe joint contractures,
- History of lower limb joint replacement,
- Structural deformities of the lower extremities.
- Severe communication, psychological, or psychiatric disorders (e.g., global aphasia) that impair the ability to follow instructions or complete assessments.
- Participation in robot-assisted gait training or similar mechanically assisted rehabilitation interventions within the past 6 months prior to enrollment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Sahmyook University
Seoul, 01795, South Korea
Related Publications (14)
Gault ML, Willems ME. Aging, functional capacity and eccentric exercise training. Aging Dis. 2013 Sep 25;4(6):351-63. doi: 10.14336/AD.2013.0400351.
PMID: 24307968BACKGROUNDIyanaga T, Abe H, Oka T, Miura T, Iwasaki R, Takase M, Isatake M, Doi A. Recumbent cycling with integrated volitional control electrical stimulation improves gait speed during the recovery stage in stroke patients. J Exerc Rehabil. 2019 Feb 25;15(1):95-102. doi: 10.12965/jer.1836500.250. eCollection 2019 Feb.
PMID: 30899743BACKGROUNDda Rosa Pinheiro DR, Cabeleira MEP, da Campo LA, Correa PS, Blauth AHEG, Cechetti F. Effects of aerobic cycling training on mobility and functionality of acute stroke subjects: A randomized clinical trial. NeuroRehabilitation. 2021;48(1):39-47. doi: 10.3233/NRE-201585.
PMID: 33386826BACKGROUNDGonzalez-Rocha A, Mendez-Sanchez L, Ortiz-Rodriguez MA, Denova-Gutierrez E. Effect Of Exercise on Muscle Mass, Fat Mass, Bone Mass, Muscular Strength and Physical Performance in Community Dwelling Older Adults: Systematic Review and Meta-Analysis. Aging Dis. 2022 Oct 1;13(5):1421-1435. doi: 10.14336/AD.2022.0215. eCollection 2022 Oct 1.
PMID: 36186132BACKGROUNDShin J, Park E. Comparison between Discrete Multi-Wavelength Near-Infrared Spectroscopy and Bioelectrical Impedance Analysis in the Assessment of Muscle Mass for Community-Dwelling Older People. J Clin Med. 2024 Apr 18;13(8):2350. doi: 10.3390/jcm13082350.
PMID: 38673621BACKGROUNDMenon RG, Raghavan P, Regatte RR. Quantifying muscle glycosaminoglycan levels in patients with post-stroke muscle stiffness using T1rho MRI. Sci Rep. 2019 Oct 10;9(1):14513. doi: 10.1038/s41598-019-50715-x.
PMID: 31601831BACKGROUNDChen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, Chou MY, Chen LY, Hsu PS, Krairit O, Lee JS, Lee WJ, Lee Y, Liang CK, Limpawattana P, Lin CS, Peng LN, Satake S, Suzuki T, Won CW, Wu CH, Wu SN, Zhang T, Zeng P, Akishita M, Arai H. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. 2014 Feb;15(2):95-101. doi: 10.1016/j.jamda.2013.11.025.
PMID: 24461239BACKGROUNDChoi AY, Lim JH, Kim BG. Effects of muscle strength exercise on muscle mass and muscle strength in patients with stroke: a systematic review and meta-analysis. J Exerc Rehabil. 2024 Oct 25;20(5):146-157. doi: 10.12965/jer.2448428.214. eCollection 2024 Oct.
PMID: 39502116BACKGROUNDHu MM, Wang S, Wu CQ, Li KP, Geng ZH, Xu GH, Dong L. Efficacy of robot-assisted gait training on lower extremity function in subacute stroke patients: a systematic review and meta-analysis. J Neuroeng Rehabil. 2024 Sep 19;21(1):165. doi: 10.1186/s12984-024-01463-1.
PMID: 39300491BACKGROUNDCalafiore D, Negrini F, Tottoli N, Ferraro F, Ozyemisci-Taskiran O, de Sire A. Efficacy of robotic exoskeleton for gait rehabilitation in patients with subacute stroke : a systematic review. Eur J Phys Rehabil Med. 2022 Feb;58(1):1-8. doi: 10.23736/S1973-9087.21.06846-5. Epub 2021 Jul 12.
PMID: 34247470BACKGROUNDLorusso M, Tramontano M, Casciello M, Pece A, Smania N, Morone G, Tamburella F. Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis. Brain Sci. 2022 May 31;12(6):713. doi: 10.3390/brainsci12060713.
PMID: 35741599BACKGROUNDSu Y, Yuki M, Otsuki M. Prevalence of stroke-related sarcopenia: A systematic review and meta-analysis. J Stroke Cerebrovasc Dis. 2020 Sep;29(9):105092. doi: 10.1016/j.jstrokecerebrovasdis.2020.105092. Epub 2020 Jul 3.
PMID: 32807486BACKGROUNDLouie DR, Mortenson WB, Durocher M, Teasell R, Yao J, Eng JJ. Exoskeleton for post-stroke recovery of ambulation (ExStRA): study protocol for a mixed-methods study investigating the efficacy and acceptance of an exoskeleton-based physical therapy program during stroke inpatient rehabilitation. BMC Neurol. 2020 Jan 28;20(1):35. doi: 10.1186/s12883-020-1617-7.
PMID: 31992219BACKGROUNDScherbakov N, Doehner W. Sarcopenia in stroke-facts and numbers on muscle loss accounting for disability after stroke. J Cachexia Sarcopenia Muscle. 2011 Mar;2(1):5-8. doi: 10.1007/s13539-011-0024-8. Epub 2011 Mar 25.
PMID: 21475676RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Seungwon Lee, PhD
Sahmyook University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- This study employed a single-blind design. Due to the nature of the interventions, participants and therapists delivering the overground robot-assisted gait training and recumbent bicycle training could not be blinded to group allocation. However, outcome assessors were blinded to group assignments throughout the study. All primary and secondary outcome assessments were performed by assessors who were not involved in the intervention delivery and had no access to the randomization information during data collection.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator, Clinical physical therapist
Study Record Dates
First Submitted
March 17, 2025
First Posted
April 4, 2025
Study Start
June 9, 2025
Primary Completion
November 21, 2025
Study Completion
November 30, 2025
Last Updated
May 1, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared outside the research team due to institutional policies and privacy regulations. Data will be securely stored and used solely for the purpose of this study and related publications.