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

NCT04723927 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2023-03-01

No results posted yet for this study

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.

Conditions

  • Gait

Interventions

OTHER

Older adults

The data for motor function and gait pattern analysis was obtained.

Sponsors & Collaborators

  • Samsung Medical Center

    lead OTHER

Principal Investigators

  • Yun-Hee Kim, MD, PhD · Samsung Medical Center

Eligibility

Min Age
65 Years
Max Age
84 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-02-25
Primary Completion
2022-08-31
Completion
2022-08-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04723927 on ClinicalTrials.gov