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Reference data for normal subjects obtained with an accelerometric device.

Bernard Auvinet1, Gilles Berrut, Claude Touzard

  • 1Service de Rhumatologie, Centre Hospitalier de Laval, F-53015 Laval, Cedex, France. bernard.auvinet@wanadoo.fr

Gait & Posture
|September 26, 2002
PubMed
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Gait analysis using accelerometers revealed that stride frequency, step symmetry, stride regularity, and vertical harmonic slope are unaffected by age or gender. However, walking speed and stride length decrease with age, particularly after the fifth decade in men and sixth in women.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Gerontology

Background:

  • Gait analysis is crucial for understanding human locomotion and age-related changes.
  • Accelerometric devices offer a portable and accessible method for gait data collection.
  • Previous research indicates potential age and gender influences on various gait parameters.

Purpose of the Study:

  • To investigate the influence of age and gender on gait parameters using accelerometric data.
  • To identify gait variables that remain stable or change with aging and sex differences.
  • To assess the clinical applicability of a validated accelerometric device for gait analysis.

Main Methods:

  • Gait data were collected from 282 healthy adults (144 women, 138 men, aged 20-98) using a validated accelerometric device.

Related Experiment Videos

  • Participants walked at self-selected speeds along a 40m corridor.
  • Key gait parameters analyzed included stride frequency, step symmetry, stride regularity, vertical harmonic slope, median-lateral harmonic slope, walking speed, and stride length.

    • Main Results:

    • Stride frequency, step symmetry, stride regularity, and vertical harmonic slope were independent of age and gender.
    • Median-lateral harmonic slope varied by gender but not by age.
    • Walking speed, stride length, cranial-caudal activity, and raw accelerations at heel contact, mid-stance, and initial push-off decreased with age, with differences observed between genders starting in the fifth/sixth decade.

    Conclusions:

    • Certain gait parameters like stride frequency and regularity are robust to age and gender variations.
    • Walking speed and stride length show significant age- and gender-dependent declines, indicating potential markers for aging.
    • The validated accelerometric device is user-friendly and suitable for clinical gait analysis.