Exploring the Effect of Visual Feedback on Motion Trajectory in a Virtual Reality Environment.

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04103957

Enrollment

Registered

2019-09-26

Start date

2020-04-10

Completion date

2021-12-31

Last updated

2021-05-26

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

Conditions

Control, Stroke

Keywords

Virtual reality

Brief summary

The rehabilitation intensity and frequency of upper extremities of stroke patients is insufficient. Virtual reality technique may solved this problem. The investigators want to build up the motion trajectory system by head-mounted display virtual reality technique, and to explore the effect of visual feedback on motion trajectory in a virtual reality environment.

Detailed description

How to increase the rehabilitation intensity in the critical rehabilitation window for stroke patients (half year since onset) was very important. The training intensity and frequency of upper extremities is insufficient. The proprioceptive neuromuscular facilitation (PNF) movements of upper extremities are applied to all daily upper extremities movement. The goals of this study are that the investigators want to build up the motion trajectory system by head-mounted display virtual reality technique, and the investigators want to explore the effect of visual feedback on motion trajectory in a virtual reality environment. The investigators will record the motion patterns, motion trajectory and the deviation of position and angle comparing to the normal PNF movement pattern to analyze the motion accuracy.

Interventions

None listed

Study design

Observational model

CASE_CONTROL

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

20 Years to 100 Years

Healthy volunteers

Yes

Inclusion criteria

Stroke patients Inclusion criteria 1. Age:20\ 100y/o. 2. Stroke onset time \> 1 week, and neurological status and medical condition are stable. 3. Brunnstrom stage III to V. 4. Can follow order.

Exclusion criteria

1. Crucial organ failure, including heart, lung, liver, and kidney. 2. Brain operation and epilepsy. 3. Severe metal illness and aphasia, so cannot follow order 4. Feel uncomfortable while using virtual reality. 5. Crucial eye problems, including color-blind, weak color, cataract, glaucoma, etc. 6. Mental illness, neuro-musculoskeletal system lesions, vertigo, claustrophobic. 7. Illness and pain to affect upper extremities movement. Healthy people Inclusion criteria 1. Age:20\ 100y/o. 2. No pain to affect upper extremities movement.

Design outcomes

Primary

Measure	Time frame	Description
Motion accuracy	during the experiment	Record the motion patterns, motion trajectory and the deviation of position and angle comparing to the normal PNF movement pattern to analyze the motion accuracy

Countries

Taiwan

Contacts

Primary ContactTzu Ling Tai, MAMS

tzulingtai@gmail.com02-23123456

Backup ContactHuey Wen Liang, PhD

lianghw@ntu.edu.tw02-23123456

Outcome results