Gait analysis for Parkinson's disease using multiscale entropy.

Journal: Neurodegenerative disease management
Published Date: May 26, 2025

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor dysfunction and complex gait abnormalities. Traditional linear methods often fail to capture the intricate movement patterns in PD. This review highlights Multiscale Entropy (MSE) as a promising tool for assessing gait dynamics, offering deeper insights into movement variability across multiple temporal scales. MSE distinguishes healthy and pathological gait patterns, enhancing early diagnosis and disease monitoring. Advances in wearable sensors, artificial intelligence, and machine learning have boosted MSE's clinical relevance by enabling real-time, personalized gait assessments. Despite these benefits, MSE faces challenges such as computational demands and the need for high-resolution data. Addressing these limitations through large-scale studies, standardized protocols, and integration of emerging technologies may support broader clinical adoption and the development of a robust normative database.

Authors

  • Leianne Rose V Amisola
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Ralph Joaquimn B Acosta
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Hail Mariella D Arao-Arao
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Vianca Nicole C Benitez
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Ron Marrion T Chan
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Anna Katrina G Co
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Nicole Shandy F Cortez
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Pj Brian F Galina
    Department of Manufacturing Engineering and Management, Gokongwei College of Engineering, De La Salle University, Manila, Philippines.
  • Michael Christian A Virata
    Department of Biology, College of Science, De La Salle University, Manila, Philippines.

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