跳至主要内容
临床试验/NCT04190095
NCT04190095Unknown不适用

Developing Real-time Interaction and Motion Tracking in Immersive VR for Telerehabilitation

University of Wyoming0 个研究点目标入组 2 人开始时间: 2020年1月最近更新:
适应症

试验速览

阶段
不适用
入组人数
2
主要终点
Tracking Accuracy

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Device Feasibility
盲法
None

入排标准

年龄范围
18 Years 至 45 Years(Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

  • Any individual who is not the responsible researcher in this project shall not participate in the study.

结局指标

主要结局

Tracking Accuracy

时间窗: through study completion, approximately 1 year

matching the motion trajectories in VR and REAL with a small error indicating a good match

Latency of Data Transmission

时间窗: through study completion, approximately 1 year

The duration for the tracked motion data to be transmitted to a remote computer

Total number of the basketed apples

时间窗: through study completion, approximately 1 year

Computer display of the total count of successfully picked and basketed apples from the tree

次要结局

  • Total excursion of the hand(through study completion, approximately 1 year)
  • Mean speed of hand movement(through study completion, approximately 1 year)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Qin Zhu

Associate Professor

University of Wyoming

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