Gait Analysis by Induced Disorientation in a VR Environment
NCT ID: NCT04134806
Last Updated: 2020-05-08
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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UNKNOWN
80 participants
OBSERVATIONAL
2019-03-01
2021-12-31
Brief Summary
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Detailed Description
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Hence, We implemented a 3D environment of a familiar city centre in the GRAIL, which combines a fully instrumented treadmill with a synchronized VR environment. We record gait parameters through the motion capture system, and accelerometric and physiological data using wearable sensors (movisens), for comparability with the SiNDeM field study. Young and old healthy adults will participate in the first phase of the study, while Mild dementia or MCI patients will participate in the later phases. Phases of disorientation will be induced by changing the virtual environment.We aim to assess gait, accelerometric and physiological parameters during instances of disorientation, using the GRAIL (Gait Real-Time Analysis Interactive Lab, Motekforce Link).
The results will further enable the automatic detection of disorientation based on gait parameters, physiological and accelerometric data. This is necessary for the development of a situation-aware assistive system which supports persons with dementia in autonomous outdoor mobility.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Young Adults
Neurologically healthy young adults between ages 18 and 40
No interventions assigned to this group
Older Adults
Neurologically healthy older adults between ages 60 and 85
No interventions assigned to this group
Mild Cognitive Impairment/Mild Dementia
Older adults between ages 60 and 85 with Mild Cognitive Impairment or Mild Dementia
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Mobile
* Dementia
Exclusion Criteria
* Inability to understand task instructions, deaf-mute, blindness
18 Years
85 Years
ALL
Yes
Sponsors
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University of Rostock
OTHER
German Center for Neurodegenerative Diseases (DZNE)
OTHER
University Medical Center Rostock
OTHER
Responsible Party
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Stefan Teipel
Prof. Dr.
Principal Investigators
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Stefan J. Teipel, Prof. Dr.
Role: PRINCIPAL_INVESTIGATOR
University Medical Center Rostock
Locations
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Clinic and Polyclinic for Psychosomatics and Psychotherapeutic Medicine, University Medical Center Rostock
Rostock, Mecklenburg-Vorpommern, Germany
Countries
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Central Contacts
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Facility Contacts
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References
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Schaat S, Koldrack P, Yordanova K, Kirste T, Teipel S. Real-Time Detection of Spatial Disorientation in Persons with Mild Cognitive Impairment and Dementia. Gerontology. 2020;66(1):85-94. doi: 10.1159/000500971. Epub 2019 Jul 30.
Yordanova K, Koldrack P, Heine C, Henkel R, Martin M, Teipel S, Kirste T. Situation Model for Situation-Aware Assistance of Dementia Patients in Outdoor Mobility. J Alzheimers Dis. 2017;60(4):1461-1476. doi: 10.3233/JAD-170105.
Amaefule CO, Ludtke S, Kirste T, Teipel SJ. Effect of Spatial Disorientation in a Virtual Environment on Gait and Vital Features in Patients with Dementia: Pilot Single-Blind Randomized Control Trial. JMIR Serious Games. 2020 Oct 8;8(4):e18455. doi: 10.2196/18455.
Other Identifiers
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A 2019-0062
Identifier Type: -
Identifier Source: org_study_id
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