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Related Experiment Video

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Home-Based Monitor for Gait and Activity Analysis
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On Gait Analysis Estimation Errors Using Force Sensors on a Smart Rollator.

Joaquin Ballesteros1, Cristina Urdiales2, Antonio B Martinez3

  • 1Department of Electronic Technology, University of Malaga, 29071 Malaga, Spain. jballesteros@uma.es.

Sensors (Basel, Switzerland)
|November 12, 2016
PubMed
Summary
This summary is machine-generated.

Smart rollators offer a practical way to analyze gait during daily activities. This method is accurate for users who genuinely need the device, with errors under 10% for most challenged individuals.

Keywords:
assistive devicesdisability profilinggait characterizationsmart rollator

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Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Human Movement Science

Background:

  • Gait analysis provides crucial insights into patient condition and recovery.
  • Traditional gait analysis methods are often limited to controlled laboratory settings and require expert operation.
  • Mobility support devices, such as rollators, can be equipped with sensors for at-home gait monitoring during daily living.

Purpose of the Study:

  • To evaluate the applicability and accuracy of force-based gait analysis using a smart rollator across diverse user groups.
  • To assess the estimation error of the smart rollator by comparing its data with established lab-based gait analysis systems.

Main Methods:

  • A smart rollator equipped with force sensors in the handlebars was used for gait analysis.
  • The study involved different user groups to determine the conditions under which force-based gait analysis is applicable.
  • A comparative analysis was conducted using two laboratory-based gait analysis systems to validate the rollator's estimations.

Main Results:

  • An inverse relationship was observed between the variance in force difference (related to user condition) and gait estimation error.
  • The estimation error remained below 10% when the variation in force difference exceeded 7 N.
  • This 7 N threshold was met by 95.83% of the challenged volunteers, indicating high applicability in the target population.

Conclusions:

  • Force-based gait analysis using smart rollators is a viable method for characterizing gait, particularly for individuals who require mobility assistance.
  • The accuracy of this method is dependent on the user's reliance on the rollator, with reliable results achieved when the device is essential for ambulation.
  • Smart rollators offer a promising, accessible tool for continuous gait monitoring in real-world settings, aiding in rehabilitation and condition assessment.