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ToPick: Time-of-Pickup Measurement for the Elderly using Wearables.

John Clapham1, Kenneth Koltermann1, Xinyu Chen1

  • 1Dept. of Computer Science, William & Mary, Williamsburg, VA.

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|September 9, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces ToPick, a novel system for remote elderly mobility monitoring. ToPick accurately assesses object pickup ability, offering a cost-effective solution for early intervention and improved quality of life.

Keywords:
Automated pickup assessmentHealth monitoringInertial sensorsPrecision HealthcareWearable technology

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Area of Science:

  • Gerontology
  • Rehabilitation Engineering
  • Biomedical Signal Processing

Background:

  • Elderly individuals experience age-related decline in object pickup ability, increasing fall risk and reducing quality of life.
  • Current in-clinic assessments for pickup ability are costly and time-consuming.
  • There is a need for remote, cost-effective methods to monitor elderly mobility decline.

Purpose of the Study:

  • To develop and evaluate a novel system, Time-of-Pickup (ToP) or ToPick, for automatic, remote assessment of object pickup ability in the elderly.
  • To provide a reliable and accurate tool for healthcare professionals to monitor mobility changes over time.
  • To reduce healthcare costs and improve accessibility of mobility assessments for elderly individuals.

Main Methods:

  • Development of the ToPick system for automatic assessment of object pickup ability.
  • Evaluation of ToPick's performance using 20 pickup events across 10 elderly individuals.
  • Validation of pickup event detection accuracy, precision, and recall.

Main Results:

  • ToPick achieved a minimal median error of approximately 100 milliseconds in evaluating pickup events.
  • The system demonstrated perfect accuracy, precision, and recall for detecting pickup events.
  • The study successfully designed an application for healthcare practitioners and elderly users.

Conclusions:

  • ToPick offers a reliable, accurate, and cost-effective solution for remote monitoring of elderly pickup ability.
  • The developed application can facilitate early intervention, reduce healthcare burdens, and enable mobile treatment.
  • This technology has the potential to significantly improve the quality of life and safety for elderly individuals.