Digital Gait Analysis in the Home Environment of Patients With Multiple Sclerosis
NCT ID: NCT04771858
Last Updated: 2023-07-03
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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COMPLETED
80 participants
OBSERVATIONAL
2021-03-09
2023-06-28
Brief Summary
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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?
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Detailed Description
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Conditions
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Study Design
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COHORT
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
* 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
* Inability to walk at least 10 meters
* Permanent use of a wheelchair
* Severe spasticity
* Cognitive impairment with inability to give consent to protocol
18 Years
ALL
Yes
Sponsors
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Celgene Corporation
INDUSTRY
NeuroSys GmbH
UNKNOWN
Fraunhofer Institute for Integrated Circuits IIS
UNKNOWN
Portabiles HealthCare Technologies GmbH
UNKNOWN
University of Regensburg
OTHER
Medical Valley Digital Health Application Center GmbH
INDUSTRY
Responsible Party
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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
Countries
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Other Identifiers
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MV-dmac 3445707
Identifier Type: -
Identifier Source: org_study_id
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