Status:
UNKNOWN
Fall Risk Assessment Using Hybrid Machine Learning and Deep Learning Approaches and a Novel Posturography
Lead Sponsor:
National Taiwan University Hospital
Collaborating Sponsors:
National Taiwan University Hospital, Yun-Lin Branch
National Yunlin University of Science and Technology
Conditions:
Age Problem
Fall
Eligibility:
All Genders
60+ years
Brief Summary
The purpose of this project is to combine a novel posturogrpahy based on HTC VIVE trackers and hybrid machine learning and deep learning algorithms to establish a set of simple, convenient and valid f...
Detailed Description
The purpose of this project is to combine a novel posturogrpahy based on HTC VIVE trackers and hybrid machine learning and deep learning algorithms to establish a set of simple, convenient and valid f...
Eligibility Criteria
Inclusion
- can walk in the household without device independently
Exclusion
- with terminal disease
- with cognitive impairment to follow verbal instruction
- with neurological conditions that are associated with leg weakness
- with significant visual impairment that interferes with daily living and walking
Key Trial Info
Start Date :
April 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 1 2023
Estimated Enrollment :
500 Patients enrolled
Trial Details
Trial ID
NCT05308563
Start Date
April 1 2022
End Date
December 1 2023
Last Update
April 4 2022
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