- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06715098
Comparison of Robot Assisted Gait Training and Body Weight Supported Treadmill Training Using Gait Analysis and SEMG Measurements
December 1, 2024 updated by: Füsun Ardıç, Pamukkale University
Comparison of Robot Assisted Gait Training and Body Weight Supported Treadmill Training in Chronic Stroke Patients Using Gait Analysis and SEMG Measurements
The aim of our randomized controlled clinical trial was to analyze the effects of robotic-assisted gait training and body-weight-supported treadmill training on gait analysis parameters and lower extremity agonist and antagonist muscle activities in stroke patients and to compare their effectiveness in improving locomotor function.
The main questions that the researchers aimed to answer are: What are the effects of robotic-assisted gait training and body-weight-supported treadmill training on gait analysis parameters in stroke patients?
What are the effects of robotic-assisted gait training and body-weight-supported treadmill training on lower extremity agonist and antagonist muscle activities in stroke patients?
What is the effectiveness of robotic-assisted gait training and body-weight-supported treadmill training in improving locomotor function in stroke patients?
The patients included in the study were randomly divided into three groups: The first group received robotic-assisted gait training with RoboGait, the second group received body-weight-supported gait training on a treadmill with RehaWalk, and the third group received conventional walking training.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
45
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
-
Denizli, Turkey
- Pamukkale University
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Age 18 and above
- Chronic stage stroke (6 months - 2 years)
- First stroke
- Spasticity of Ashworth stage 2 or lower
- Ability to follow commands
- Ability to walk unsupported for more than 10 meters
- No treatment received in the last month
Exclusion Criteria:
- Severe osteoporosis
- Unstable fracture
- Excessive spasticity (Ashworth stage 3 and above)
- Cognitive impairment
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: RoboGait group
Robotic walking training 3 days a week, 30 minutes a day for 4 weeks
|
RoboGait: robotic-assisted gait training
|
|
Experimental: RehaWalk group
Walking training on treadmill with body weight support for 30 minutes a day, 3 days a week for 4 weeks
|
RehaWalk: body weight-supported treadmill training
|
|
Active Comparator: Conventional Group
Conventional walking training for 30 minutes a day, 3 days a week for 4 weeks
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Conventional: conventional walking training
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Gait analysis with 2D camera
Time Frame: Change from baseline kinematic parameters at the 4th week after the treatment
|
Kinematic parameters: Hip joint flexion range of motion degree in the swing phase in the sagittal plane, knee joint maximum flexion angle degree, ankle joint dorsiflexion range of motion degree
|
Change from baseline kinematic parameters at the 4th week after the treatment
|
|
Surface Electromyography (sEMG)
Time Frame: Change from baseline surface electromyography (sEMG) at the 4th week after the treatment
|
The average EMG (AEMG) amplitude and co-contraction indices (CCI) are calculated for the affected lower extremity's knee flexion and ankle dorsiflexion during the swing phase.
CCI is calculated using the formula antagonistic muscle AEMG / (antagonistic muscle AEMG + agonistic muscle AEMG)
|
Change from baseline surface electromyography (sEMG) at the 4th week after the treatment
|
|
Pressure and Walking Analysis
Time Frame: Change from baseline pressure and walking analysis at the 4th week after the treatment
|
The researchers examined the effects such as walking line length, single support line, forward and backward rollers and lateral symmetry indexes in the pressure analyses.
In the gait analysis, walking speed, cadence, step length, step width, foot rotation angle, step duration, double support duration, stance phase, swing phase, single support phase, pre-swing phase, mid-swing phase, terminal swing phase, stance duration, swing duration, double phase, double step length and temporal symmetry index were evaluated.
The temporal symmetry index was calculated using the following formula: Swing duration of the affected side of the patient / Swing duration of the unaffected side of the patient
|
Change from baseline pressure and walking analysis at the 4th week after the treatment
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The Functional Ambulation Scale (FAS)
Time Frame: Change from baseline FAS at the 4th week after the treatment
|
The Functional Ambulation Scale (FAS) is a scale used to assess the level of ambulation in patients.
It is divided into six categories graded from 0 to 5: FAS 0: no ambulation, FAS 1-2: unable to walk without assistance, FAS 3-5: able to walk 6 meters independently.
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Change from baseline FAS at the 4th week after the treatment
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For lower extremity, the Fugl-Meyer Assessment (FMA-LE)
Time Frame: Change from baseline FMA-LE at the 4th week after the treatment
|
For lower extremity, the Fugl-Meyer Assessment (FMA-LE) was used in our study, consisting of a total of 17 items with a maximum score of 34 points.
The scale assesses reflexes, synergy-dependent or synergy-independent voluntary movements, coordination, and speed.
Each item is scored between 0 and 2 points, with a higher score indicating better outcomes.
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Change from baseline FMA-LE at the 4th week after the treatment
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The 6-minute walk test (6MWT)
Time Frame: Change from baseline 6MWT at the 4th week after the treatment
|
In the 6-minute walk test (6MWT), researchers asked participants to walk down a 30-meter hospital hallway at their own pace for 6 minutes, following standard instructions to cover as much distance as possible.
The distance walked was recorded in meters.
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Change from baseline 6MWT at the 4th week after the treatment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Füsun Ardıç, Professor, Pamukkale University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Norouzi-Gheidari N, Archambault PS, Fung J. Effects of robot-assisted therapy on stroke rehabilitation in upper limbs: systematic review and meta-analysis of the literature. J Rehabil Res Dev. 2012;49(4):479-96. doi: 10.1682/jrrd.2010.10.0210.
- Mao YR, Lo WL, Lin Q, Li L, Xiao X, Raghavan P, Huang DF. The Effect of Body Weight Support Treadmill Training on Gait Recovery, Proximal Lower Limb Motor Pattern, and Balance in Patients with Subacute Stroke. Biomed Res Int. 2015;2015:175719. doi: 10.1155/2015/175719. Epub 2015 Nov 16.
- Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness. Phys Ther. 1984 Jan;64(1):35-40. doi: 10.1093/ptj/64.1.35.
- GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019 May;18(5):439-458. doi: 10.1016/S1474-4422(19)30034-1. Epub 2019 Mar 11.
- Middleton A, Merlo-Rains A, Peters DM, Greene JV, Blanck EL, Moran R, Fritz SL. Body weight-supported treadmill training is no better than overground training for individuals with chronic stroke: a randomized controlled trial. Top Stroke Rehabil. 2014 Nov-Dec;21(6):462-76. doi: 10.1310/tsr2106-462.
- Schwartz I, Meiner Z. Robotic-assisted gait training in neurological patients: who may benefit? Ann Biomed Eng. 2015 May;43(5):1260-9. doi: 10.1007/s10439-015-1283-x. Epub 2015 Feb 28.
- Sullivan KJ, Tilson JK, Cen SY, Rose DK, Hershberg J, Correa A, Gallichio J, McLeod M, Moore C, Wu SS, Duncan PW. Fugl-Meyer assessment of sensorimotor function after stroke: standardized training procedure for clinical practice and clinical trials. Stroke. 2011 Feb;42(2):427-32. doi: 10.1161/STROKEAHA.110.592766. Epub 2010 Dec 16.
- Kuriakose D, Xiao Z. Pathophysiology and Treatment of Stroke: Present Status and Future Perspectives. Int J Mol Sci. 2020 Oct 15;21(20):7609. doi: 10.3390/ijms21207609.
- Esquenazi A, Lee S, Wikoff A, Packel A, Toczylowski T, Feeley J. A Comparison of Locomotor Therapy Interventions: Partial-Body Weight-Supported Treadmill, Lokomat, and G-EO Training in People With Traumatic Brain Injury. PM R. 2017 Sep;9(9):839-846. doi: 10.1016/j.pmrj.2016.12.010. Epub 2017 Jan 16.
- Stroke, Cerebrovascular accident, WHO. Accessed: 08.10.2023 https://www.emro.who.int/health-topics/stroke-cerebrovascular-accident/index.html
- Furie K. Epidemiology and Primary Prevention of Stroke. Continuum (Minneap Minn). 2020 Apr;26(2):260-267. doi: 10.1212/CON.0000000000000831.
- Buntin MB, Colla CH, Deb P, Sood N, Escarce JJ. Medicare spending and outcomes after postacute care for stroke and hip fracture. Med Care. 2010 Sep;48(9):776-84. doi: 10.1097/MLR.0b013e3181e359df.
- Selves C, Stoquart G, Lejeune T. Gait rehabilitation after stroke: review of the evidence of predictors, clinical outcomes and timing for interventions. Acta Neurol Belg. 2020 Aug;120(4):783-790. doi: 10.1007/s13760-020-01320-7. Epub 2020 Mar 12.
- Druzbicki M, Przysada G, Guzik A, Brzozowska-Magon A, Kolodziej K, Wolan-Nieroda A, Majewska J, Kwolek A. The Efficacy of Gait Training Using a Body Weight Support Treadmill and Visual Biofeedback in Patients with Subacute Stroke: A Randomized Controlled Trial. Biomed Res Int. 2018 Apr 5;2018:3812602. doi: 10.1155/2018/3812602. eCollection 2018.
- Malik AN, Tariq H, Afridi A, Rathore FA. Technological advancements in stroke rehabilitation. J Pak Med Assoc. 2022 Aug;72(8):1672-1674. doi: 10.47391/JPMA.22-90.
- Yoo HJ, Bae CR, Jeong H, Ko MH, Kang YK, Pyun SB. Clinical efficacy of overground powered exoskeleton for gait training in patients with subacute stroke: A randomized controlled pilot trial. Medicine (Baltimore). 2023 Jan 27;102(4):e32761. doi: 10.1097/MD.0000000000032761.
- Özbudak Demir S. Robot-Assisted Gait Training for Patients with Spinal Cord Injury. Turk J Phys Med Rehab 2015;61 (Supp. 1):S37-S44.
- Visintin M, Barbeau H, Korner-Bitensky N, Mayo NE. A new approach to retrain gait in stroke patients through body weight support and treadmill stimulation. Stroke. 1998 Jun;29(6):1122-8. doi: 10.1161/01.str.29.6.1122.
- Zhang H, Li X, Gong Y, Wu J, Chen J, Chen W, Pei Z, Zhang W, Dai L, Shu X, Shen C. Three-Dimensional Gait Analysis and sEMG Measures for Robotic-Assisted Gait Training in Subacute Stroke: A Randomized Controlled Trial. Biomed Res Int. 2023 Apr 11;2023:7563802. doi: 10.1155/2023/7563802. eCollection 2023.
- Lura DJ, Venglar MC, van Duijn AJ, Csavina KR. Body weight supported treadmill vs. overground gait training for acute stroke gait rehabilitation. Int J Rehabil Res. 2019 Sep;42(3):270-274. doi: 10.1097/MRR.0000000000000357.
- Choi W. Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients. Int J Environ Res Public Health. 2022 May 10;19(10):5814. doi: 10.3390/ijerph19105814.
- Tanaka N, Yano H, Ebata Y, Ebihara K. Influence of Robot-Assisted Gait Training on Lower-Limb Muscle Activity in Patients With Stroke: Comparison With Conventional Gait Training. Ann Rehabil Med. 2023 Jun;47(3):205-213. doi: 10.5535/arm.22147. Epub 2023 Jun 8.
- Brunelli S, Iosa M, Fusco FR, Pirri C, Di Giunta C, Foti C, Traballesi M. Early body weight-supported overground walking training in patients with stroke in subacute phase compared to conventional physiotherapy: a randomized controlled pilot study. Int J Rehabil Res. 2019 Dec;42(4):309-315. doi: 10.1097/MRR.0000000000000363.
- Lee JH, Lee MH. The effects of smartphone multitasking on gait and dynamic balance. J Phys Ther Sci. 2018 Feb;30(2):293-296. doi: 10.1589/jpts.30.293. Epub 2018 Feb 28.
- Warutkar V, Dadgal R, Mangulkar UR. Use of Robotics in Gait Rehabilitation Following Stroke: A Review. Cureus. 2022 Nov 4;14(11):e31075. doi: 10.7759/cureus.31075. eCollection 2022 Nov.
- Lefeber N, De Keersmaecker E, Henderix S, Michielsen M, Kerckhofs E, Swinnen E. Physiological Responses and Perceived Exertion During Robot-Assisted and Body Weight-Supported Gait After Stroke. Neurorehabil Neural Repair. 2018 Dec;32(12):1043-1054. doi: 10.1177/1545968318810810. Epub 2018 Nov 12.
- RehaWalk - Ganganalyse und Training. Erişim: 08.10.2023 https://www.zebris.de/medizin/rehawalkr-ganganalyse-und-gangtraining-in-der-rehabilitation.
- Bedla M, Pieta P, Kaczmarski D, Deniziak S. Estimation of Gross Motor Functions in Children with Cerebral Palsy Using Zebris FDM-T Treadmill. J Clin Med. 2022 Feb 12;11(4):954. doi: 10.3390/jcm11040954.
- Yang YR, Chen IH, Liao KK, Huang CC, Wang RY. Cortical reorganization induced by body weight-supported treadmill training in patients with hemiparesis of different stroke durations. Arch Phys Med Rehabil. 2010 Apr;91(4):513-8. doi: 10.1016/j.apmr.2009.11.021.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 14, 2023
Primary Completion (Actual)
August 31, 2024
Study Completion (Actual)
September 28, 2024
Study Registration Dates
First Submitted
July 12, 2024
First Submitted That Met QC Criteria
December 1, 2024
First Posted (Estimated)
December 4, 2024
Study Record Updates
Last Update Posted (Estimated)
December 4, 2024
Last Update Submitted That Met QC Criteria
December 1, 2024
Last Verified
November 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PamukkaleU.ftr-FArdıç-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
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