VR and Orthoses for Rehabilitation in Multiple Sclerosis

NCT ID: NCT07096700

Last Updated: 2025-07-31

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

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

12 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-10-31

Study Completion Date

2026-05-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

This non-drug, non-medical device, interventional study explores the feasibility of integrating virtual reality (VR) with wearable sensors to support gait training using a passive orthosis in individuals with multiple sclerosis (MS). The aim is to determine whether this approach can enhance clinical gait assessment and facilitate orthosis adaptation by replicating real-life scenarios within a safe and controlled environment. The virtual environment, accessed through a head-mounted display, will be delivered via a custom simulator incorporating standardized gait tasks embedded in everyday settings. This system is designed to minimize the artificial influence of clinical settings on walking performance, while providing clinicians with objective gait data for more comprehensive evaluation.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Patients with multiple sclerosis (MS) often experience significant gait impairments that impact their autonomy and overall quality of life. One of the primary rehabilitation strategies involves the use of walking braces. While these orthotic devices can support ambulation, their effective integration into daily life typically requires a period of adaptation and specific training. Traditionally, gait training and orthosis prescription occur in clinical settings, which may not fully reflect the real-world challenges that patients encounter. Moreover, current clinical assessments rely primarily on subjective observations and standardized scales, which may lack the sensitivity and objectivity needed to capture the full complexity of gait performance.

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

See the medical conditions and disease areas that this research is targeting or investigating.

Multiple Sclerosis

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

VR - Multiple Sclerosis

Twelve adults with multiple sclerosis who require a walking brace to support ambulation and are compatible with Virtual Reality

Group Type OTHER

VR and walking brace-based gait rehabilitation

Intervention Type OTHER

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

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

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.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Confirmed diagnosis of multiple sclerosis
* 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

* Presence of severe or current visual or auditory impairments
* 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)
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Azienda Usl di Bologna

OTHER_GOV

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Loredana Sabattini

Role: PRINCIPAL_INVESTIGATOR

IRCCS Istituto delle Scienze Neurologiche di Bologna - AUSL of Bologna

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

IRCCS Istituto delle Scienze Neurologiche di Bologna - AUSL of Bologna

Bologna, Bologna, Italy

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Italy

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Kevin Marcaccini

Role: CONTACT

+390514966403

Loredana Sabattini

Role: CONTACT

+3905174966217

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Kevin Marcaccini

Role: primary

+390514966403

Loredana Sabattini

Role: backup

+3905174966217

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type BACKGROUND
PMID: 33427235 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 29651873 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26856951 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25428901 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 38391591 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33481693 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 37304666 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33975555 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33257490 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

VIRTUE

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Remote Ischemic Conditioning in PPMS
NCT06171334 NOT_YET_RECRUITING NA