NCT04723927

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

Development of Fall Prediction Model for Older Adults by Analysis of Walking Patterns Based on Multi-faceted Biosignal Data
Samsung Medical Center·ClinicalTrials.gov·otherRecruiting
View on ClinicalTrials.gov
Study focus
Disease/Condition
Gait
Drug/Device/Intervention
Older adults
Study type
Observational
Intervention type
other
Sponsor & location
Primary sponsor
Samsung Medical Center
Location
Seoul, South Korea
Timeline & enrollment
Phase
N/A
Start date
Feb 25, 2021
End date
Aug 31, 2022
Enrollment
100 participants
Primary outcome

Gait analysis

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.

ICD-10 classifications
Paralytic gaitAbnormalities of gait and mobilityOther and unspecified abnormalities of gait and mobilityAtaxic gaitFall on and from stairs and steps
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT04723927
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT04723927 through Pure Global AI's free database. This phase not specified trial is sponsored by Samsung Medical Center and is currently Recruiting. The study focuses on Gait. Target enrollment is 100 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.