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Reliability of segmental accelerations measured using a new wireless gait analysis system.

Justin J Kavanagh1, Steven Morrison, Daniel A James

  • 1School of Physiotherapy and Exercise Science, Griffith University, PMB 50 Gold Coast Mail Centre 9726, Gold Coast, Queensland, Australia. j.Kavanagh@griffith.edu.au <j.Kavanagh@griffith.edu.au>

Journal of Biomechanics
|October 29, 2005
PubMed
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This study found a new wireless gait analysis system highly reliable for measuring 3D accelerations during walking. The system demonstrated excellent inter-examiner, intra-examiner, and stride-to-stride repeatability across various speeds and body locations.

Area of Science:

  • Biomechanics
  • Gait Analysis
  • Wearable Technology

Background:

  • Gait analysis is crucial for understanding human locomotion and diagnosing movement disorders.
  • Accelerometer-based systems offer a portable and practical solution for gait assessment.
  • Reliability of new wearable gait analysis systems needs rigorous validation.

Purpose of the Study:

  • To evaluate the inter- and intra-examiner reliability of a novel accelerometer-based gait analysis system.
  • To assess the stride-to-stride reliability of the system across different walking speeds and body locations.
  • To determine the repeatability of 3D acceleration measurements using a wireless gait system.

Main Methods:

  • Eight subjects participated in two testing sessions with accelerometers placed on the head, neck, lower trunk, and right shank.

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  • Inter-examiner reliability was assessed by two examiners in the initial session; intra-examiner and stride-to-stride reliability were assessed by a single examiner in a subsequent session.
  • Data were collected using a wireless system with near real-time Bluetooth transmission; reliability was quantified using the coefficient of multiple determination (CMD).

    • Main Results:

    • Overall CMD values ranged from 0.60 to 0.98, indicating high waveform similarity.
    • Inter-examiner (0.86), intra-examiner (0.87), and stride-to-stride reliability (0.86) were not significantly different.
    • The shank segment (0.94), vertical direction (0.91), and fast walking speed (0.91) showed the highest repeatability.

    Conclusions:

    • The new wireless gait analysis system demonstrates a high degree of waveform repeatability under test-retest conditions.
    • The system's reliability is consistent across single and dual examiner scenarios.
    • Differences in acceleration waveform repeatability due to accelerometer reapplication are minimal compared to natural motor variability.