Digital Gait Analysis in the Home Environment of Patients With Multiple Sclerosis

NCT ID: NCT04771858

Last Updated: 2023-07-03

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

COMPLETED

Total Enrollment

80 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-09

Study Completion Date

2023-06-28

Brief Summary

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The aim of this study is the development of novel telemedical examination methods based on sensor-based gait analysis in patients with multiple sclerosis (MS). In a first step, the basic technical feasibility of measuring gait parameters in MS patients under standardized conditions in the clinic and in the home environment of the study participants will be investigated.

In a subsequent two-week study phase, gait parameters (real-life monitoring) and standardized gait tests will be continuously recorded in the home environment of the study participants. The comparability of the collected gait parameters from standardized gait tests and real-life monitoring to clinical scales (e.g. EDSS) will investigate the medical applicability of gait analysis as a target parameter in MS patients.

New algorithms for detecting indication-specific gait patterns from gait analysis in patients' daily lives and their possible changes over time (progression) will be explored and implemented into the study system. In addition, a patient app annotates the standardized gait tests and collects questionnaire-based data from the study participants during real-life monitoring. Via a study tablet, the data of the gait analysis and the patient app are transmitted to a study platform (Digital Patient Manager). The clinical assessment data (neurological examination, questionnaires) can be entered via a web front-end of the study platform and assigned to the patient via a pseudonym.

A further aim of this study is to validate the technology used for its applicability in the home environment. By means of structured interviews after the study phase, the study participants will be asked about compliance and adherence.

The following scientific questions will be investigated in this project:

(a) Is gait analysis a feasible and meaningful target parameter for MS centers? b) Are gait parameters from real-life monitoring suitable biomarkers for the detection of MS symptoms? c) Can gait parameters from standardized gait tests be compared with different testing environments (clinic / home environment)? d) How do gait parameters from standardized gait tests differ from gait data from real-life monitoring? e) How is the telemedical application for the collection of gait parameters evaluated by the patients? f) Can disease progression be detected using sensor-based gait parameters from the home environment?

Detailed Description

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Conditions

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Multiple Sclerosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Study Group

No intervention

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Diagnosis of multiple sclerosis according to McDonald criteria
* Expanded Disability Status Scale (EDSS) 1-6
* Age \> 18 years
* Ability to speak and read
* Ability to use an application running on a smart device
* Patient informed consent

Exclusion Criteria

* Severe difficulty walking with frequent falls
* Inability to walk at least 10 meters
* Permanent use of a wheelchair
* Severe spasticity
* Cognitive impairment with inability to give consent to protocol
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Celgene Corporation

INDUSTRY

Sponsor Role collaborator

NeuroSys GmbH

UNKNOWN

Sponsor Role collaborator

Fraunhofer Institute for Integrated Circuits IIS

UNKNOWN

Sponsor Role collaborator

Portabiles HealthCare Technologies GmbH

UNKNOWN

Sponsor Role collaborator

University of Regensburg

OTHER

Sponsor Role collaborator

Medical Valley Digital Health Application Center GmbH

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ralf Linker, Professor

Role: PRINCIPAL_INVESTIGATOR

Department of Neurology, University of Regensburg, Regensburg 93053, Germany

Locations

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Department of Neurology, University of Regensburg

Regensburg, Bavaria, Germany

Site Status

Countries

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Germany

Other Identifiers

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MV-dmac 3445707

Identifier Type: -

Identifier Source: org_study_id

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