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Related Experiment Video

Updated: Jun 3, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Inertial sensor based reference gait data for healthy subjects.

René Schwesig1, Siegfried Leuchte, David Fischer

  • 1Department of Sport-Science, Martin-Luther-Universität Halle-Wittenberg, Selke Str. 9F, 06099 Halle, Saale, Germany. rene.schwesig@sport.uni-halle.de

Gait & Posture
|April 5, 2011
PubMed
Summary
This summary is machine-generated.

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Inertial sensor gait analysis systems (ISGAS) provide valuable data for healthy individuals across all ages. This study established a reference database for spatio-temporal gait parameters, crucial for future clinical gait disorder evaluations.

Area of Science:

  • Biomedical Engineering
  • Human Movement Science
  • Gerontology

Background:

  • Inertial sensor gait analysis systems (ISGAS) offer mobility in various environments.
  • Clinical application and large-scale studies require robust performance evaluation and normative data for healthy subjects.

Purpose of the Study:

  • To collect spatio-temporal gait parameters from a large, diverse cohort.
  • To identify correlations between gait parameters and subject characteristics.
  • To establish a reference database for gait analysis.

Main Methods:

  • Utilized the RehaWatch(®) inertial sensor system to collect gait data from 1860 healthy participants (aged 5-100).
  • Collected data from a 20m walkway after practice trials.
  • Calculated and normalized spatio-temporal gait parameters, recording demographic and morphological data.

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Related Experiment Videos

Last Updated: Jun 3, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Lower Limb Biomechanical Analysis of Healthy Participants
06:36

Lower Limb Biomechanical Analysis of Healthy Participants

Published on: April 15, 2020

  • Employed multifactorial regression models to analyze determinants of gait parameters.

    • Main Results:

    • Identified strong non-linear relationships between age and gait parameters.
    • Age explained the largest variance in normalized stride length (R(2)=0.46).
    • Normalized cadence exhibited a single peak across ages, while normalized walking speed and stride length showed two peaks.
    • Normalized walking speed displayed the highest age-related variation (98%), and normalized stride length the lowest (89%).

    Conclusions:

    • The established reference database is foundational for assessing gait disorders in all age groups.
    • The findings highlight significant age-related changes in gait parameters.
    • The database has been integrated into the RehaWatch(®) system for practical application.