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Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Portable preimpact fall detector with inertial sensors.

Ge Wu1, Shuwan Xue

  • 1Department of Rehabilitation and Movement Science, University of Vermont, Burlington, VT 05405, USA. ge.wu@uvm.edu

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|April 12, 2008
PubMed
Summary

This study developed a portable device to detect impending falls in elderly individuals before impact. The system successfully identified all falls with no false alarms, paving the way for fall prevention technologies.

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Biomechanics

Background:

  • Falls and subsequent hip fractures pose significant health and economic burdens on the elderly population.
  • Existing fall detection systems often trigger after impact, limiting their effectiveness in preventing injuries.
  • There is a critical need for technology that can predict and alert to falls before physical impact.

Purpose of the Study:

  • To assess the feasibility of a portable pre-impact fall detection system.
  • To determine if a single sensor near the center of gravity can differentiate falls from normal activities.
  • To develop an algorithm for early detection of unrecoverable falls.

Main Methods:

  • A portable sensor apparatus was developed to measure kinematics near the body's center of gravity.

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  • The system was tested using young and elderly subjects performing daily activities and simulated falls.
  • A threshold detection method, primarily using vertical velocity, was employed to classify fall events.

    • Main Results:

    • The algorithm successfully detected all simulated fall events at least 70 milliseconds prior to impact.
    • Individual subject threshold adaptation resulted in 100% fall detection accuracy.
    • No false alarms were recorded during non-fall activities, demonstrating high specificity.

    Conclusions:

    • A portable pre-impact fall detection system is feasible and effective in identifying impending falls.
    • This technology can distinguish falls from regular activities with high accuracy.
    • The developed apparatus is a precursor to advanced inflatable hip pads for fall injury prevention.