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Validating Wireless Gait Sensor for Elderly Fall Risk Classification

NCT06398431 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 51

Last updated 2025-06-22

No results posted yet for this study

Summary

The walking status of elderly patients over 65 years of age in the hospital will be verified through political analysis and objective fall risk assessment through wireless inertial sensors and diagnostic machine learning models, and based on the results, As investigators, providing a foundation for the objective evaluation of the risk of falling patients by nurses in general wards in the future.

Conditions

  • Elderly Person

Interventions

DEVICE

Walking analysis sensor

Participant gait analysis with the inertial sensor

Sponsors & Collaborators

  • Pusan National University

    collaborator OTHER

  • Pusan National University Yangsan Hospital

    lead OTHER

Principal Investigators

  • Sungchul Huh, PhD · Pusan National University Yangsan Hospital

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
55 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-12-01
Primary Completion
2024-01-05
Completion
2024-04-30

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 NCT06398431 on ClinicalTrials.gov