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Robot-based Rehabilitation of Upper Limb Impairment in Multiple Sclerosis

Robot-based Assessment and Therapy in the Treatment of Upper Limb Impairment in Multiple Sclerosis: a Multi-center, Randomised Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02711566
Acronym
MS-ROBOT
Enrollment
41
Registered
2016-03-17
Start date
2010-01-31
Completion date
2011-12-31
Last updated
2016-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multiple Sclerosis

Keywords

Rehabilitation, Robot-assisted therapy

Brief summary

Robot-assisted therapy has proven effective in the neuromotor rehabilitation of eg stroke survivors. Robots can be programmed to interact with patients by guiding their movements, by monitoring their performance and by quantifying the type and degree of their impairment. A distinctive element of multiple sclerosis is the involvement of a variety of functional systems, in a way that is highly subject-specific. This requires a personalization of treatment, and continuous adaptation to changes in condition. This points to a need for integrating patient assessment, definition of rehabilitation protocols, their administration and the assessment of their outcome. The goal of this study is to assess, in persons with MS, the efficacy of a type of robot-assisted training that was specifically designed to counteract incoordination and muscle weakness (typical of MS), tailored to individual type and degree of impairment, when compared to simple movement training.

Detailed description

In recent years, the potential of robots in the treatment of persons with motor disabilities has raised considerable interest. These devices may interact with patients by assisting or perturbing their movements, may monitor their performance and even quantify their impairment. Clinical trials involving stroke survivors clearly demonstrated that robot-therapy results in improved motor control. More recently, robot-therapy has been applied to other pathologies. A pilot study carried out by the proponents suggested that Multiple Sclerosis (MS) subjects with predominantly cerebellar symptoms may indeed benefit from robot-therapy. MS subjects with different symptoms may benefit from robot therapy as well, but the variety of symptoms and degrees of impairment that is typical of MS suggests that robots may fully show their potential if therapy is tailored on the individual subjects. In this study, the proponents aim at extending the results of the above mentioned pilot study to MS subjects with a wider variety of impairments. Based on previous studies on robot therapy with MS subjects and stroke survivors, the proponents will develop and test a robot training exercise that is specifically designed to deal with incoordination and/or muscle weakness. In a randomised controlled trial, the proponents will then assess the possible contribution of this form of robot-therapy to the rehabilitation of MS subjects. A population of clinically definite MS subjects with different degrees of upper limb impairment was randomised into 2 groups: (i) Haptic training and (ii) Sensorimotor training. Haptic training was based on a robot-assisted exercise protocol specifically designed to treat cerebellar and motor symptoms in persons with MS by counteracting, respectively, incoordination and muscle weakness. The exercise is based on a motor task - interaction with a virtual mass-spring system under the effect of a resistive load - that requires sophisticated coordination skills. Task difficulty (the time constant of the mass-spring system) and the magnitude of the resistive load (stiffness magnitude of the resistive spring) were automatically adjusted to the individual subjects' upper limb impairment. In Sensorimotor training, the task is exactly the same, but the robot generates no forces. Hand and target position are displayed on the computer screen. This group allowed quantifying the specific contribution of robot assistance to sensorimotor recovery (if any). Both groups performed 8-10 therapy sessions (1 hour/each, 2-3 times per week). Treatment outcome was assessed in terms of the Nine-Hole Peg Test (9HPT) and the ARAT scores.

Interventions

DEVICEPhysioassistant: Haptic training

Subjects in the Haptic training arm had to perform fast-and-accurate reaching movements in different directions. reaching was mediated by a virtual 'tool', consisting of a virtual point mass (m=5 kg) connected to the subjects' hand through a linear spring (stiffness range: Km=200-500 N/m). An additional spring (stiffness range: Kr = 20-70 N/m) was connected between hand a starting point to resist movements. Subjects were instructed to move the virtual point mass as fast as possible through suitable hand motions, so that the mass ends up and stops on the 'target' area.

DEVICEPhysioassistant: Sensorimotor training

Subjects in the Sensorimotor training arm had to perform fast-and-accurate reaching movements in different directions. The manipulandum was only used to record hand movements, but throughout the movement it generated no forces.

Sponsors

University of Genova
CollaboratorOTHER
Azienda Sanitaria Locale 3 Genovese
CollaboratorOTHER
Fondazione Don Carlo Gnocchi Onlus
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Inclusion: * definite Multiple sclerosis, stable phase of the disease * no relapses or worsening \>1 in the Expanded Disability Status Scale in the last three months, * Expanded Disability Status Scale\<7.5, * Ashworth score at the upper limb lower than 2, * Nine-Hole Peg Test between 30 s and 180 s Exclusion: * previous treatment with robot therapy, * presence of severe nystagmus, * visual acuity less than 4/10 * major orthopaedic or other disorders interfering with the protocol

Design outcomes

Primary

MeasureTime frame
Change of the 9 Hole Peg Test scorebaseline and 4 weeks and baseline and 16 weeks

Secondary

MeasureTime frameDescription
Treatment change in percentage of responders at 9 Hole Peg Test scorebaseline and 4 weeks and baseline and 16 weeksNumber of responders i.e. the subjects who experienced an improvement greater than 20% at the 9HPT
Absolute change of exercise performancebaseline and 4 weeks and baseline and 16 weeksPerformance score (a combination of a movement duration and a path length component, with equal weights)
Absolute change of task difficultybaseline and 4 weeks and baseline and 16 weeksResistive and mass-spring stiffness (Haptic group only)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 28, 2026