Overview
This study will combine virtual reality (VR) technology with machine learning to focus on functional movement. Patients' symptoms will be evaluated, and exercise instruction with real-time feedback will be provided. The goals of this research are to: (1) develop a waist digital sensor for real-time monitoring as an evaluation tool, (2) apply a real-time monitoring system in conjunction with virtual reality for telerehabilitation, and (3) develop the standard model.
Description
The remote assessment and training in this study can assist patients obtaining physical therapy care at home. It is suitable for patients who avoid going to the hospital due to the epidemic, and solve the problem of long-term treatment. The outcomes will provide DLSD patients tele-rehabilitation platform and system, help medical personnel to treat patients more effectively in the future, and reduce the burden of medical costs on close ones.
Eligibility
Inclusion Criteria:
- able to stand and walk for 5 minutes independently
- aged between 50 and 80 years
- received a diagnosis of DLSD based on imaging
Exclusion Criteria:
- neurological disorder such as stroke or spinal cord injury
- metabolic disease such as diabetes mellitus
- vestibular disease such as Meniere's disease.