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Real-time Interaction and Motion Tracking in VR for Telerehabilitation

NCT ID: NCT04190095

Last Updated: 2019-12-09

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

UNKNOWN

Clinical Phase

NA

Total Enrollment

2 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-01-31

Study Completion Date

2021-10-31

Brief Summary

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Current technology for telerehabilitation is limited to be audio- or video- based interaction without an objective and accurate measure of motor functions. A technology integrating motion tracking with 3D immersive virtual reality has been developed by an interdisciplinary team to shift the paradigm of telerehabilitation. We aim to take the significant step to develop the patient-centered telerehabilitation that will feature real-time patient-therapist interaction with functions of tele-monitoring, tele-diagnosis, and tele-therapy. Such an interactive telerehabilitation is expected to increase patient adherence to therapy and minimize the existing health disparities.

Detailed Description

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By innovatively integrating the 3D motion tracking with 3D immersive virtual reality (VR), the real-time user interaction and simultaneous motion tracking and analysis in the immersive VR environment were made possible. We now propose to customize this technology for telerehabilitation. The ultimate goal is to build a VR-based interactive tele-rehab system that is patient-centered, with augmented feedback and tele-presence of therapist to assist rehabilitative exercises and recovery of motor functions in both real and virtual environment. To achieve this goal, we are specifically tackling three problems.

* 1: Cross validating the precision of motion data captured in VR. We will modify our current software (Unity-based) so that it can work simultaneous with two motion tracking systems (Optical tracking and Magnetic tracking) to capture motion data in a 3D VR environment. The recorded data in our software will be compared and correlated with those data recorded by the two motion tracking systems in 3D for examination of accuracy.
* 2: Building and testing the network code for remote data transmission and interaction. We will write network code to enable the remote transmission of motion tracking data between two sites. The latency of data transmission will be tested to determine the minimum speed of internet for implementing such a tele-rehab system.
* 3: Designing and implementing a VR interaction task for remote monitoring and diagnosis. A 3D interactive VR task will be built for real-time local interaction and the remote monitoring, assessment and intervention.

Conditions

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Telerehabilitation

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DEVICE_FEASIBILITY

Blinding Strategy

NONE

Study Groups

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User Interaction with Device

A user will wear motion sensors and VR device to interact with object or another user in VR environment

Group Type EXPERIMENTAL

Motion Tracking in VR

Intervention Type DEVICE

Participant will wear motion sensors and VR devices

VR Interaction

Intervention Type BEHAVIORAL

Participant will perform VR interaction task

Interventions

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Motion Tracking in VR

Participant will wear motion sensors and VR devices

Intervention Type DEVICE

VR Interaction

Participant will perform VR interaction task

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Only the key researchers of this project can participate in the study

Exclusion Criteria

* Any individual who is not the responsible researcher in this project shall not participate in the study.
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Wyoming

OTHER

Sponsor Role lead

Responsible Party

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Qin Zhu

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Qin Zhu, PhD

Role: CONTACT

Phone: 307-223-6145

Email: [email protected]

Russell Todd

Role: CONTACT

Phone: 307-761-9628

Email: [email protected]

Other Identifiers

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201901004QZ02535

Identifier Type: -

Identifier Source: org_study_id