Effectiveness of Robot-Assisted Structured Foot-Ankle Sensorimotor Training in Stroke Patients

NCT ID: NCT07091045

Last Updated: 2025-07-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-08-01

Study Completion Date

2026-12-01

Brief Summary

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Stroke, one of the central nervous system (CNS) disorders, is a global public health problem due to its high mortality rate and level of physical and mental disability. It is the leading cause of death after heart disease and cancer and one of the most important causes of disability worldwide. After a stroke, motor and sensory disorders, activity and participation limitations and various complications related to these are observed in the lower extremities. As a result of these losses, balance, mobility and gait abnormalities lead to a decrease in quality of life and fall problems.

In recent years, the use of robot-assisted rehabilitation in physiotherapy has increased significantly with the support of engineering studies. Robotic and technology-supported trainings enable rehabilitation to be carried out at high intensity and repetition, treatment to be adapted according to the needs of the patient, patient exercise performance to be objectively monitored continuously, customized treatment protocols to be implemented and patients to be motivated with virtual reality technology.

Platform-based end effector robots used for ankle rehabilitation in the lower extremity after stroke allow active and passive joint range of motion training to be performed. In addition to such motor trainings, adding sensory (vibrotactile) localization and cognitive trainings to the treatment improves sensory-motor-cognitive integration.

In this context, with the proposed robot-assisted structured foot-ankle sensorimotor training protocol:

1. Vibration and sensory localization training applied for correct stepping on the sole of the foot (plantar) and correct pressure distribution,
2. Passive range of motion training supported by virtual reality,
3. Position sense training,
4. Active range of motion training supported by virtual reality and the "Assist-as-needed-AAN" control paradigm,
5. Vibration and sensory localization training applied for correct stepping on the sole of the foot (plantar) and correct pressure distribution, a holistic foot-ankle rehabilitation consisting of 5 stages of sensory-motor-cognitive training will be performed.

The aim of the project is to investigate the effectiveness of our structured training protocol, which includes sensory, motor and cognitive integration for foot-ankle rehabilitation, which we created with a robot-assisted foot-ankle system, in stroke patients. Our project aims to improve the tone, range of motion, joint position sense, walking performance, static and dynamic balance control, tactile perception levels and quality of life of the ankle movement and muscles (dorsiflexor and plantar flexor muscles) that are impaired after stroke. It is also aimed to bring a robot-assisted structured foot-ankle training protocol to the literature.

Detailed Description

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Power analysis using G-Power version 3.1 yielded 90% power, a d=1.135 effect size, and a total sample size of n=30, with each group consisting of 15 observations. Participants will be randomly assigned to either the Robotic-Assisted Foot-Ankle Training Protocol (REG) or the Conventional Foot-Ankle Training Protocol (CEG). One group will receive training with the robotic foot-ankle platform, while the other group will receive conventional training (manual training with a physiotherapist). Exercise programs will last 6 weeks, 3 days a week, for 40-45 minutes. Progression will be provided using the AAN control paradigm on the robot, and by the physiotherapist in the conventional training.

Conditions

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Stroke Robotic Rehabilitation Virtual Reality Therapy

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Investigators

Study Groups

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Robot-Assisted Foot-Ankle Training Protocol (REG):

Stage 1: Vibration Training Applied for Proper Stepping on the Sole of the Foot and Proper Pressure Distribution: The first step of the training will be constant vibration, and the second step will be sensory localization training with vibration.

Stage 2: Passive Joint Range of Motion Training with Virtual Reality: The platform will move the ankle passively (passive stretching).

Stage 3: Joint Position Sense Training: The platform will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the platform initially brought.

Stage 4: Active Joint Range of Motion Training with Virtual Reality: Along with active dorsiflexion, when necessary, assistance will be provided with the Assistance as Needed (AAN) control paradigm, a feature of the robotic device.

Stage 5: It is the same as Stage 1

Group Type EXPERIMENTAL

Robot-Assisted Foot-Ankle Training

Intervention Type OTHER

Stage 1: Vibration Training Applied for Proper Stepping on the Sole of the Foot and Proper Pressure Distribution: The first step of the training will be constant vibration, and the second step will be sensory localization training with vibration.

Stage 2: Passive Joint Range of Motion Training with Virtual Reality: The platform will move the ankle passively (passive stretching).

Stage 3: Joint Position Sense Training: The platform will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the platform initially brought.

Stage 4: Active Joint Range of Motion Training with Virtual Reality: Along with active dorsiflexion, when necessary, assistance will be provided with the Assistance as Needed (AAN) control paradigm, a feature of the robotic device.

Stage 5: It is the same as Stage 1

Conventional Foot-Ankle Training Protocol (KEG):

Stage 1: Sensory Training to the Sole of the Foot: In the first step of the training, the physiotherapist will manually apply constant pressure with a blunt object, and in the second step, sensory localization training with a blunt object will be performed.

Stage 2: Passive Joint Range of Motion Training:

The ankle will be manually moved passively (passive stretching) by the physiotherapist.

Stage 3: Joint Position Sense Training: The physiotherapist will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the physiotherapist initially brought.

Stage 4: Active Joint Range of Motion Training:

This stage will be performed with manual assistance provided by the physiotherapist when necessary, along with active dorsiflexion.

Stage 5: It is the same as Stage 1

Group Type ACTIVE_COMPARATOR

Conventional Foot-Ankle Training

Intervention Type OTHER

Stage 1: Sensory Training to the Sole of the Foot: In the first step of the training, the physiotherapist will manually apply constant pressure with a blunt object, and in the second step, sensory localization training with a blunt object will be performed. Stage 2: Passive Joint Range of Motion Training: The ankle will be manually moved passively (passive stretching) by the physiotherapist. Stage 3: Joint Position Sense Training: The physiotherapist will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the physiotherapist initially brought. Stage 4: Active Joint Range of Motion Training: This stage will be performed with manual assistance provided by the physiotherapist when necessary, along with active dorsiflexion. Stage 5: It is the same as Stage 1

Interventions

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Robot-Assisted Foot-Ankle Training

Stage 1: Vibration Training Applied for Proper Stepping on the Sole of the Foot and Proper Pressure Distribution: The first step of the training will be constant vibration, and the second step will be sensory localization training with vibration.

Stage 2: Passive Joint Range of Motion Training with Virtual Reality: The platform will move the ankle passively (passive stretching).

Stage 3: Joint Position Sense Training: The platform will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the platform initially brought.

Stage 4: Active Joint Range of Motion Training with Virtual Reality: Along with active dorsiflexion, when necessary, assistance will be provided with the Assistance as Needed (AAN) control paradigm, a feature of the robotic device.

Stage 5: It is the same as Stage 1

Intervention Type OTHER

Conventional Foot-Ankle Training

Stage 1: Sensory Training to the Sole of the Foot: In the first step of the training, the physiotherapist will manually apply constant pressure with a blunt object, and in the second step, sensory localization training with a blunt object will be performed. Stage 2: Passive Joint Range of Motion Training: The ankle will be manually moved passively (passive stretching) by the physiotherapist. Stage 3: Joint Position Sense Training: The physiotherapist will bring the patient's ankle to a certain dorsiflexion position, the patient will be asked to feel and be aware of this angle, then the patient will be asked to return to the neutral position and perform ankle dorsiflexion at the angle that the physiotherapist initially brought. Stage 4: Active Joint Range of Motion Training: This stage will be performed with manual assistance provided by the physiotherapist when necessary, along with active dorsiflexion. Stage 5: It is the same as Stage 1

Intervention Type OTHER

Other Intervention Names

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Robotic foot-ankle therapy in stroke

Eligibility Criteria

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Inclusion Criteria

* Age between 40 and 65 years,
* Ability to understand and follow study instructions,
* Ability to demonstrate coherent speech and spatial-temporal orientation skills, signed informed consent form,

≤ 2 ankle plantar flexor spasticity according to the Modified Ashworth Scale (MAS),
* Completion of all conventional physical therapy,
* Having had a stroke at least 6 months ago (individuals with chronic stroke),
* Ability to walk at least 10 m with or without any assistive device.

Exclusion Criteria

* Cognitive impairment (Mini-Mental State Examination score ≤ 24),
* Having pathologies affecting walking or balance (orthopedic complications, lower extremity amputation, osteoporosis, etc.),
* Uncontrolled conditions (e.g. diabetes, hypertension, debilitating or immunosuppressive diseases),
* İmpairments affecting participants' ability to understand instructions,
* İnsufficient visual acuity to see a screen,
* Fixed or painful contractures of the paretic ankle.
Minimum Eligible Age

45 Years

Maximum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Medipol University

OTHER

Sponsor Role lead

Responsible Party

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Esra TEKECİ

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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İstanbul Medipol Üniversitesi

Istanbul, Istanbul, Turkey (Türkiye)

Site Status

İstanbul Medipol Üniversitesi

Istanbul, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

Central Contacts

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Esra TEKECİ, physiotherapist

Role: CONTACT

+905365870917

Facility Contacts

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Esra TEKECİ, physiotherapist

Role: primary

+905365870917

MEDİPOLU İSTANBUL MEDİPOL ÜNİVERSİTESİ

Role: primary

+902164448544

References

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Kwong PWH, Ng SSM, Chung RCK, Ng GYF. A structural equation model of the relationship between muscle strength, balance performance, walking endurance and community integration in stroke survivors. PLoS One. 2017 Oct 19;12(10):e0185807. doi: 10.1371/journal.pone.0185807. eCollection 2017.

Reference Type BACKGROUND
PMID: 29049293 (View on PubMed)

Kim KH, Jang SH. Effects of Cognitive Sensory Motor Training on Lower Extremity Muscle Strength and Balance in Post Stroke Patients: A Randomized Controlled Study. Clin Pract. 2021 Sep 14;11(3):640-649. doi: 10.3390/clinpract11030079.

Reference Type BACKGROUND
PMID: 34563008 (View on PubMed)

Kim H, Cho S, Lee H. Effects of passive Bi-axial ankle stretching while walking on uneven terrains in older adults with chronic stroke. J Biomech. 2019 May 24;89:57-64. doi: 10.1016/j.jbiomech.2019.04.014. Epub 2019 Apr 17.

Reference Type BACKGROUND
PMID: 31060809 (View on PubMed)

Khalifeloo M, Naghdi S, Ansari NN, Akbari M, Jalaie S, Jannat D, Hasson S. A study on the immediate effects of plantar vibration on balance dysfunction in patients with stroke. J Exerc Rehabil. 2018 Apr 26;14(2):259-266. doi: 10.12965/jer.1836044.022. eCollection 2018 Apr.

Reference Type BACKGROUND
PMID: 29740561 (View on PubMed)

Kavounoudias A, Roll R, Roll JP. The plantar sole is a 'dynamometric map' for human balance control. Neuroreport. 1998 Oct 5;9(14):3247-52. doi: 10.1097/00001756-199810050-00021.

Reference Type BACKGROUND
PMID: 9831459 (View on PubMed)

de la Iglesia DH, Mendes AS, Gonzalez GV, Jimenez-Bravo DM, de Paz Santana JF. Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware. Sensors (Basel). 2020 Feb 6;20(3):858. doi: 10.3390/s20030858.

Reference Type BACKGROUND
PMID: 32041156 (View on PubMed)

Hussain I, Jany R. Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. Sensors (Basel). 2024 Feb 21;24(5):1392. doi: 10.3390/s24051392.

Reference Type BACKGROUND
PMID: 38474928 (View on PubMed)

Hoh JE, Semrau JA. The Role of Sensory Impairments on Recovery and Rehabilitation After Stroke. Curr Neurol Neurosci Rep. 2025 Mar 6;25(1):22. doi: 10.1007/s11910-025-01407-9.

Reference Type BACKGROUND
PMID: 40047982 (View on PubMed)

Hesse S, Tomelleri C, Bardeleben A, Werner C, Waldner A. Robot-assisted practice of gait and stair climbing in nonambulatory stroke patients. J Rehabil Res Dev. 2012;49(4):613-22. doi: 10.1682/jrrd.2011.08.0142.

Reference Type BACKGROUND
PMID: 22773263 (View on PubMed)

GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021 Oct;20(10):795-820. doi: 10.1016/S1474-4422(21)00252-0. Epub 2021 Sep 3.

Reference Type BACKGROUND
PMID: 34487721 (View on PubMed)

Forrester LW, Roy A, Krywonis A, Kehs G, Krebs HI, Macko RF. Modular ankle robotics training in early subacute stroke: a randomized controlled pilot study. Neurorehabil Neural Repair. 2014 Sep;28(7):678-87. doi: 10.1177/1545968314521004. Epub 2014 Feb 10.

Reference Type BACKGROUND
PMID: 24515923 (View on PubMed)

Foley N, Murie-Fernandez M, Speechley M, Salter K, Sequeira K, Teasell R. Does the treatment of spastic equinovarus deformity following stroke with botulinum toxin increase gait velocity? A systematic review and meta-analysis. Eur J Neurol. 2010 Dec;17(12):1419-27. doi: 10.1111/j.1468-1331.2010.03084.x.

Reference Type BACKGROUND
PMID: 20491885 (View on PubMed)

Ferry B, Compagnat M, Yonneau J, Bensoussan L, Moucheboeuf G, Muller F, Laborde B, Jossart A, David R, Magne J, Marais L, Daviet JC. Awakening the control of the ankle dorsiflexors in the post-stroke hemiplegic subject to improve walking activity and social participation: the WAKE (Walking Ankle isoKinetic Exercise) randomised, controlled trial. Trials. 2022 Aug 16;23(1):661. doi: 10.1186/s13063-022-06545-w.

Reference Type BACKGROUND
PMID: 35974379 (View on PubMed)

Feigin VL, Brainin M, Norrving B, Martins S, Sacco RL, Hacke W, Fisher M, Pandian J, Lindsay P. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022. Int J Stroke. 2022 Jan;17(1):18-29. doi: 10.1177/17474930211065917.

Reference Type BACKGROUND
PMID: 34986727 (View on PubMed)

De Santis D, Zenzeri J, Casadio M, Masia L, Riva A, Morasso P, Squeri V. Robot-assisted training of the kinesthetic sense: enhancing proprioception after stroke. Front Hum Neurosci. 2015 Jan 5;8:1037. doi: 10.3389/fnhum.2014.01037. eCollection 2014.

Reference Type BACKGROUND
PMID: 25601833 (View on PubMed)

Covaciu F, Pisla A, Iordan AE. Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation. Sensors (Basel). 2021 Feb 23;21(4):1537. doi: 10.3390/s21041537.

Reference Type BACKGROUND
PMID: 33672161 (View on PubMed)

Cordo P, Lutsep H, Cordo L, Wright WG, Cacciatore T, Skoss R. Assisted movement with enhanced sensation (AMES): coupling motor and sensory to remediate motor deficits in chronic stroke patients. Neurorehabil Neural Repair. 2009 Jan;23(1):67-77. doi: 10.1177/1545968308317437. Epub 2008 Jul 21.

Reference Type BACKGROUND
PMID: 18645190 (View on PubMed)

Cioni M, Esquenazi A, Hirai B. Effects of botulinum toxin-A on gait velocity, step length, and base of support of patients with dynamic equinovarus foot. Am J Phys Med Rehabil. 2006 Jul;85(7):600-6. doi: 10.1097/01.phm.0000223216.50068.bc.

Reference Type BACKGROUND
PMID: 16788391 (View on PubMed)

Cho JE, Lee WH, Shin JH, Kim H. Effects of bi-axial ankle strengthening on muscle co-contraction during gait in chronic stroke patients: A randomized controlled pilot study. Gait Posture. 2021 Jun;87:177-183. doi: 10.1016/j.gaitpost.2021.04.011. Epub 2021 Apr 15.

Reference Type BACKGROUND
PMID: 33945964 (View on PubMed)

Chen X, Liu F, Yan Z, Cheng S, Liu X, Li H, Li Z. Therapeutic effects of sensory input training on motor function rehabilitation after stroke. Medicine (Baltimore). 2018 Nov;97(48):e13387. doi: 10.1097/MD.0000000000013387.

Reference Type BACKGROUND
PMID: 30508935 (View on PubMed)

Celletti C, Suppa A, Bianchini E, Lakin S, Toscano M, La Torre G, Di Piero V, Camerota F. Promoting post-stroke recovery through focal or whole body vibration: criticisms and prospects from a narrative review. Neurol Sci. 2020 Jan;41(1):11-24. doi: 10.1007/s10072-019-04047-3. Epub 2019 Aug 30.

Reference Type BACKGROUND
PMID: 31468237 (View on PubMed)

Caldas R, Mundt M, Potthast W, Buarque de Lima Neto F, Markert B. A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms. Gait Posture. 2017 Sep;57:204-210. doi: 10.1016/j.gaitpost.2017.06.019. Epub 2017 Jun 24.

Reference Type BACKGROUND
PMID: 28666178 (View on PubMed)

Bouisset S, Do MC. Posture, dynamic stability, and voluntary movement. Neurophysiol Clin. 2008 Dec;38(6):345-62. doi: 10.1016/j.neucli.2008.10.001. Epub 2008 Oct 18.

Reference Type BACKGROUND
PMID: 19026956 (View on PubMed)

Bonassi G, Biggio M, Bisio A, Ruggeri P, Bove M, Avanzino L. Provision of somatosensory inputs during motor imagery enhances learning-induced plasticity in human motor cortex. Sci Rep. 2017 Aug 24;7(1):9300. doi: 10.1038/s41598-017-09597-0.

Reference Type BACKGROUND
PMID: 28839226 (View on PubMed)

Bensoussan L, Mesure S, Viton JM, Delarque A. Kinematic and kinetic asymmetries in hemiplegic patients' gait initiation patterns. J Rehabil Med. 2006 Sep;38(5):287-94. doi: 10.1080/16501970600694859.

Reference Type BACKGROUND
PMID: 16931458 (View on PubMed)

Hakverdioglu Yont G, Khorshid L. Turkish version of the Stroke-Specific Quality of Life Scale. Int Nurs Rev. 2012 Jun;59(2):274-80. doi: 10.1111/j.1466-7657.2011.00962.x. Epub 2011 Nov 23.

Reference Type BACKGROUND
PMID: 22591101 (View on PubMed)

Williams LS, Weinberger M, Harris LE, Clark DO, Biller J. Development of a stroke-specific quality of life scale. Stroke. 1999 Jul;30(7):1362-9. doi: 10.1161/01.str.30.7.1362.

Reference Type BACKGROUND
PMID: 10390308 (View on PubMed)

Fugl-Meyer AR, Jaasko L, Leyman I, Olsson S, Steglind S. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med. 1975;7(1):13-31.

Reference Type BACKGROUND
PMID: 1135616 (View on PubMed)

Hosoi Y, Kamimoto T, Sakai K, Yamada M, Kawakami M. Estimation of minimal detectable change in the 10-meter walking test for patients with stroke: a study stratified by gait speed. Front Neurol. 2023 Jul 19;14:1219505. doi: 10.3389/fneur.2023.1219505. eCollection 2023.

Reference Type BACKGROUND
PMID: 37538254 (View on PubMed)

Mahmoudzadeh A, Nakhostin Ansari N, Naghdi S, Sadeghi-Demneh E, Motamedzadeh O, Shaw BS, Shariat A, Shaw I. Effect of Ankle Plantar Flexor Spasticity Level on Balance in Patients With Stroke: Protocol for a Cross-Sectional Study. JMIR Res Protoc. 2020 Aug 21;9(8):e16045. doi: 10.2196/16045.

Reference Type BACKGROUND
PMID: 32663137 (View on PubMed)

Bohannon, R. W. 2001. ''Measurement of joint range of motion in the rehabilitation of patients with stroke'', Stroke Rehabilitation, 22(4), 417-421.

Reference Type BACKGROUND

Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991 Feb;39(2):142-8. doi: 10.1111/j.1532-5415.1991.tb01616.x.

Reference Type BACKGROUND
PMID: 1991946 (View on PubMed)

Perez-Cruzado D, Gonzalez-Sanchez M, Cuesta-Vargas AI. Parameterization and reliability of single-leg balance test assessed with inertial sensors in stroke survivors: a cross-sectional study. Biomed Eng Online. 2014 Aug 30;13:127. doi: 10.1186/1475-925X-13-127.

Reference Type BACKGROUND
PMID: 25174611 (View on PubMed)

Harb A, Margetis K, Kishner S. Modified Ashworth Scale. 2025 Apr 4. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK554572/

Reference Type BACKGROUND
PMID: 32119459 (View on PubMed)

Conforto AB, Ferreiro KN, Tomasi C, dos Santos RL, Moreira VL, Marie SK, Baltieri SC, Scaff M, Cohen LG. Effects of somatosensory stimulation on motor function after subacute stroke. Neurorehabil Neural Repair. 2010 Mar-Apr;24(3):263-72. doi: 10.1177/1545968309349946. Epub 2009 Nov 2.

Reference Type BACKGROUND
PMID: 19884642 (View on PubMed)

Asin-Prieto G, Mercante S, Rojas R, Navas M, Gomez D, Toledo M, Martinez-Exposito A, Moreno JC. Post-stroke rehabilitation of the ankle joint with a low cost monoarticular ankle robotic exoskeleton: Preliminary results. Front Bioeng Biotechnol. 2022 Nov 25;10:1015201. doi: 10.3389/fbioe.2022.1015201. eCollection 2022.

Reference Type BACKGROUND
PMID: 36507258 (View on PubMed)

Arene N, Hidler J. Understanding motor impairment in the paretic lower limb after a stroke: a review of the literature. Top Stroke Rehabil. 2009 Sep-Oct;16(5):346-56. doi: 10.1310/tsr1605-346.

Reference Type BACKGROUND
PMID: 19903653 (View on PubMed)

An, S.H., Park, D-S., Limb, Ji-Y. 2017. ''Discriminative validity of the timed up and go test for community ambulation in persons with chronic stroke'', Phys Ther Rehabil Sci., 6 (4), 176-181

Reference Type BACKGROUND

Karimi-AhmadAbadi A, Naghdi S, Ansari NN, Fakhari Z, Khalifeloo M. A clinical single blind study to investigate the immediate effects of plantar vibration on balance in patients after stroke. J Bodyw Mov Ther. 2018 Apr;22(2):242-246. doi: 10.1016/j.jbmt.2017.04.013. Epub 2017 May 5.

Reference Type BACKGROUND
PMID: 29861214 (View on PubMed)

http://dx.doi.org/10.1016/j.jbmt.2017.04.013

Reference Type BACKGROUND

Other Identifiers

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E-10840098-202.3.02-2627

Identifier Type: -

Identifier Source: org_study_id

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