VR and Orthoses for Rehabilitation in Multiple Sclerosis
NCT ID: NCT07096700
Last Updated: 2025-07-31
Study Results
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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NOT_YET_RECRUITING
NA
12 participants
INTERVENTIONAL
2025-10-31
2026-05-31
Brief Summary
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Detailed Description
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virtual reality (VR) offers a promising opportunity to simulate realistic walking environments in a controlled and safe setting, such as an outpatient clinic, potentially enhancing the outcomes of gait rehabilitation. Another promising technology in this domain is the use of wearable inertial sensors, which have been shown to effectively measure gait and postural parameters in people with MS. A further challenge associated with the use of orthotic devices is the physical and psychological stress they may cause, which can lead patients to discontinue their use. To evaluate such discomfort more objectively, recent studies have explored the use of physiological signal analysis and machine learning (ML) algorithms as an alternative or complement to self-reported questionnaires.
The integration of VR with wearable inertial and physiological sensors may allow for a more comprehensive and objective assessment of a patient's adaptation to walking braces. However, no validated system currently exists that combines these technologies for gait assessment and training with passive orthoses in people with MS.
The VIRTUE study aims to address this gap by developing and evaluating a VR-based platform (VIRTUE4MS) that replicates real-life scenarios, such as navigating through a museum, park, or grocery store, and enables standardized gait assessments within immersive environments. The system will employ both inertial and physiological wearable sensors to gather data on gait dynamics and user experience, ultimately supporting clinical decision-making regarding orthotic use. In this study, 12 patients with MS will perform walking and balance tasks over three sessions (T1, T2, T3), both with and without the Exoband brace, in VR and real-world conditions. Ultimately, this study seeks to explore an innovative, technology-supported approach to orthosis assessment and gait training that could complement traditional clinical tools and contribute to more effective, personalized rehabilitation strategies for individuals with MS.
Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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VR - Multiple Sclerosis
Twelve adults with multiple sclerosis who require a walking brace to support ambulation and are compatible with Virtual Reality
VR and walking brace-based gait rehabilitation
The study implements the use of VR and wearable sensors to enhance gait analysis in clinical practice. Participants will take part in two outpatient sessions (T1 and T2) involving the use of VR and wearable sensors, during which they will be asked to complete standardized gait tests and questionnaires. These two sessions will be separated by a one-week home phase (Th), during which participants will wear the walking brace in their daily activities and their gait and physiological data will be recorded by wearable sensors. A final session (T3), conducted without VR, will be scheduled two months later to assess the long-term retention of the intervention effects.
Interventions
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VR and walking brace-based gait rehabilitation
The study implements the use of VR and wearable sensors to enhance gait analysis in clinical practice. Participants will take part in two outpatient sessions (T1 and T2) involving the use of VR and wearable sensors, during which they will be asked to complete standardized gait tests and questionnaires. These two sessions will be separated by a one-week home phase (Th), during which participants will wear the walking brace in their daily activities and their gait and physiological data will be recorded by wearable sensors. A final session (T3), conducted without VR, will be scheduled two months later to assess the long-term retention of the intervention effects.
Eligibility Criteria
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Inclusion Criteria
* Age between 18 and 65 years
* Both sexes
* Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS \> 100)
* Expanded Disability Status Scale (EDSS between 3 and 6 inclusive)
* Berg Balance Scale (BBS ≥ 46)
* Indication for the use of the Exoband orthosis for gait assistance
* Modified Fatigue Impact Scale (MFIS) physical subscale ≤ 20
* Signed informed consent
Exclusion Criteria
* Relapses within the last 3 months
* Presence of severe anxiety or depression
* Severe spasticity patterns in the lower limbs or fixed distal tendon contractures
* Presence of motion sickness symptoms induced by virtual reality (VR)
18 Years
65 Years
ALL
No
Sponsors
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Azienda Usl di Bologna
OTHER_GOV
Responsible Party
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Principal Investigators
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Loredana Sabattini
Role: PRINCIPAL_INVESTIGATOR
IRCCS Istituto delle Scienze Neurologiche di Bologna - AUSL of Bologna
Locations
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IRCCS Istituto delle Scienze Neurologiche di Bologna - AUSL of Bologna
Bologna, Bologna, Italy
Countries
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Central Contacts
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Facility Contacts
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References
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Tsai MF, Bandini A, Wang RH, Zariffa J. Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment. J Vis Exp. 2020 Dec 23;(166). doi: 10.3791/61898.
Casuso-Holgado MJ, Martin-Valero R, Carazo AF, Medrano-Sanchez EM, Cortes-Vega MD, Montero-Bancalero FJ. Effectiveness of virtual reality training for balance and gait rehabilitation in people with multiple sclerosis: a systematic review and meta-analysis. Clin Rehabil. 2018 Sep;32(9):1220-1234. doi: 10.1177/0269215518768084. Epub 2018 Apr 13.
Peruzzi A, Cereatti A, Della Croce U, Mirelman A. Effects of a virtual reality and treadmill training on gait of subjects with multiple sclerosis: a pilot study. Mult Scler Relat Disord. 2016 Jan;5:91-6. doi: 10.1016/j.msard.2015.11.002. Epub 2015 Nov 6.
Bettoni E, Ferriero G, Bakhsh H, Bravini E, Massazza G, Franchignoni F. A systematic review of questionnaires to assess patient satisfaction with limb orthoses. Prosthet Orthot Int. 2016 Apr;40(2):158-69. doi: 10.1177/0309364614556836. Epub 2014 Nov 26.
Marimon X, Mengual I, Lopez-de-Celis C, Portela A, Rodriguez-Sanz J, Herraez IA, Perez-Bellmunt A. Kinematic Analysis of Human Gait in Healthy Young Adults Using IMU Sensors: Exploring Relevant Machine Learning Features for Clinical Applications. Bioengineering (Basel). 2024 Jan 23;11(2):105. doi: 10.3390/bioengineering11020105.
Panizzolo FA, Cimino S, Pettenello E, Belfiore A, Petrone N, Marcolin G. Effect of a passive hip exoskeleton on walking distance in neurological patients. Assist Technol. 2022 Sep 3;34(5):527-532. doi: 10.1080/10400435.2021.1880494. Epub 2021 Mar 5.
Karunakaran KK, Pamula SD, Bach CP, Legelen E, Saleh S, Nolan KJ. Lower extremity robotic exoskeleton devices for overground ambulation recovery in acquired brain injury-A review. Front Neurorobot. 2023 May 25;17:1014616. doi: 10.3389/fnbot.2023.1014616. eCollection 2023.
Homayuni A, Abedini S, Hosseini Z, Etemadifar M, Ghanbarnejad A. Explaining the facilitators of quality of life in patients with multiple sclerosis: a qualitative study. BMC Neurol. 2021 May 11;21(1):193. doi: 10.1186/s12883-021-02213-9.
Gil-Gonzalez I, Martin-Rodriguez A, Conrad R, Perez-San-Gregorio MA. Quality of life in adults with multiple sclerosis: a systematic review. BMJ Open. 2020 Nov 30;10(11):e041249. doi: 10.1136/bmjopen-2020-041249.
Other Identifiers
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VIRTUE
Identifier Type: -
Identifier Source: org_study_id
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