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Gait Analysis by Induced Disorientation in a VR Environment

Evaluation of a Navigation Experiment in the Gait Real-Time Analysis Interactive Lab: Gait Analysis by Induced Disorientation in a VR Environment

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04134806
Enrollment
80
Registered
2019-10-22
Start date
2019-03-01
Completion date
2021-12-31
Last updated
2020-05-08

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

Conditions

Disorientation, Mild Cognitive Impairment, Mild Dementia, Older Adults, Young Adults

Brief summary

The aim of the study is to investigate whether the effect of disorientation on physical motion and gait among dementia patients, can be reliably measured in a laboratory environment, by means of a virtual reality (VR) experimental setup.

Detailed description

Challenges in wayfinding and orientation are early symptoms of MCI and dementia. These deficits decrease mobility which again leads to further cognitive decline. In a field study, we developed a pattern recognition model of disorientated behaviour based on accelerometric data. However, it is questionable if phases of disorientation also affect gait parameters. Furthermore, there is growing evidence that impaired cognitive functioning is associated with changes in gait performance, e.g. gait variability, measured in dual-task walking conditions. Increases in heart rate and skin conductance have also been reported during instances of disorientation. 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.

Interventions

None listed

Sponsors

University of Rostock
CollaboratorOTHER
German Center for Neurodegenerative Diseases (DZNE)
CollaboratorOTHER
University Medical Center Rostock
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
Yes

Inclusion criteria

* Within the required age bracket * Mobile * Dementia

Exclusion criteria

* Other neurological conditions besides dementia * Inability to understand task instructions, deaf-mute, blindness

Design outcomes

Primary

MeasureTime frameDescription
Spatial disorientationUp to 3 years from start of the studyIncidences of disorientation will be captured in a video record during the experiment, and then later identified in an off-line annotation procedure using a customized annotation scheme

Secondary

MeasureTime frameDescription
Spatial orientation abilityUp to 3 years from start of the studyOlder adult participants' spatial orientation ability will be evaluated using the Perspective taking spatial orientation test (PTSOT). No predefined range. Lower scores indicate better spatial orientation ability. Formula: sum of true angles - sum of expressed angles
Heart rate variabilityUp to 3 years from start of the studyRate of change in heart rate will be measured using a wearable electrocardiographic sensor
Skin conductanceUp to 3 years from start of the studyRate of change in electrodermal response will be measured using a wearable electrodermal activity sensor
AccelerometeryUp to 3 years from start of the studyIncidences of change in walking pattern will be measured using accelerometers
Gait variabilityUp to 3 years from start of the studyIncidences of change in gait pattern will be measured using the gait capturing system of the GRAIL (gait real-time analysis interactive lab)
Visuospatial functionUp to 3 years from start of the studyOlder adult participants' visual constructive ability will be evaluated using the figure copy part of the Rey-Osterrieth complex figure test (ROCF). Higher scores indicate better visual constructive ability. Range 0-31
Memory functionUp to 3 years from start of the studyOlder adult participants' spatial memory will be evaluated using the figure recall part of the Rey-Osterrieth complex figure test (ROCF). Higher scores indicate better memory. Range 0-31
Executive functionUp to 3 years from start of the studyOlder adult participants' executive function will be evaluated using the Trail making test (TMT A/B). Lower scores indicate better executive function. No predefined range
Apolipoprotein E4 statusUp to 3 years from start of the studyPresence of the variants Apo-E2, E3 and -E4 in the blood samples

Countries

Germany

Contacts

Primary ContactChimezie O. Amaefule, M.Sc
chimezie.amaefule@dzne.de0049-381-494-9478

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026