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Gait Stability Measurement by Using Average Entropy.

Han-Ping Huang1, Chang Francis Hsu1, Yi-Chih Mao2

  • 1Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.

Entropy (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Average entropy (AE) effectively measures gait stability, distinguishing between open and closed eyes. This disorder measure also differentiates healthy individuals from diseased subjects with high accuracy.

Keywords:
average entropycomplexitydisorderentropy of entropygait analysisgait stability

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Area of Science:

  • Biomechanics
  • Complexity Science
  • Medical Signal Analysis

Background:

  • Gait stability is crucial for mobility and fall prevention.
  • Entropy-based methods are increasingly used to quantify gait dynamics.
  • The relationship between different entropy measures and gait stability requires further clarification.

Purpose of the Study:

  • To evaluate the validity of Average Entropy (AE) for measuring gait stability, focusing on its role as a disorder metric.
  • To compare AE with other disorder and complexity measures, including Entropy of Entropy (EoE), for gait analysis.
  • To assess AE's ability to differentiate between healthy and diseased individuals based on gait patterns.

Main Methods:

  • Calculated AE and five other disorder metrics, plus EoE and two traditional methods, on step interval (SPI) and stride interval (SI) time series.
  • Analyzed gait data from 10 healthy participants under eyes-open and eyes-closed conditions.
  • Compared gait stability metrics between 53 diseased subjects and 26 healthy controls.

Main Results:

  • Participants showed higher AE for SPI with eyes closed compared to eyes open.
  • AE values for SI were generally higher in diseased subjects than in healthy controls.
  • AE achieved a maximal accuracy of 91.1% in distinguishing healthy from diseased individuals.
  • Other disorder measures showed similar trends to AE, but EoE did not.
  • An inverted U-shaped relationship was observed between EoE and AE for SI time series.

Conclusions:

  • Average Entropy (AE) is a valid and effective measure for assessing gait stability, particularly as an indicator of disorder.
  • AE demonstrates significant potential in clinical applications for differentiating pathological gait patterns.
  • The findings support the use of AE in understanding gait dynamics and its alterations in disease states.