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Development of Fall Prediction Model for Older Adults Based on Multi-faceted Data

Gait Clinical Trial

Official title:
Development of Fall Prediction Model for Older Adults by Analysis of Walking Patterns Based on Multi-faceted Biosignal Data

Clinical Trial Summary

This study aimed to develop a fall prediction model for older adults by measuring the multi-faceted biosignal data to classify the walking patterns and by identifying causal relationships with the variables that affect the fall.

Clinical Trial Description

This study aimed to develop a fall prediction model by measuring the multi-paceted biosignal data for the elderly's physical function and walking to classify the walking patterns of the elderly, and by identifying causal relationships and influences with the variables that affect the fall. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04723927
Study type Observational
Source Samsung Medical Center
Contact
Status Completed
Phase
Start date February 25, 2021
Completion date August 31, 2022
View Details
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