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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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Asymmetric Gait Analysis Using a DTW Algorithm with Combined Gyroscope and Pressure Sensor.

Yeon-Keun Jeong1, Kwang-Ryul Baek1

  • 1School of Electronics Engineering, Pusan National University, Busan 46241, Korea.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary

This study introduces a new method for analyzing asymmetric walking using Dynamic Time Warping (DTW) distance. The approach effectively distinguishes between normal and abnormal gaits, showing statistically significant differences in hemiplegic walking simulations.

Keywords:
asymmetry gaitgait analysisinertial sensorsmart shoes

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Area of Science:

  • Biomechanics
  • Biomedical Engineering
  • Data Science

Background:

  • Abnormal walking, often linked to disease, is typically characterized by asymmetry.
  • Current methods using spatiotemporal parameters for gait analysis have limitations regarding pattern diversity and walking speed.

Purpose of the Study:

  • To propose and validate a novel method for asymmetric gait analysis using Dynamic Time Warping (DTW) distance.
  • To overcome the limitations of traditional spatiotemporal parameters in gait analysis.

Main Methods:

  • Combined gyroscope and pressure sensor data to calculate DTW distance.
  • Simulated hemiplegic walking by immobilizing an ankle with an auxiliary device.
  • Compared the proposed DTW-based method against existing asymmetric gait analysis techniques.

Main Results:

  • The proposed method demonstrated a statistically significant difference (p < 0.05) between symmetrical and asymmetrical gaits.
  • DTW analysis effectively captured gait asymmetry, outperforming traditional methods in the simulated hemiplegic walking model.

Conclusions:

  • Dynamic Time Warping offers a robust approach for analyzing asymmetric walking patterns.
  • This method provides a more sensitive and comprehensive tool for gait analysis, particularly in pathological conditions.