ReviewNeurodegenerative disease management2025
Gait analysis for Parkinson's disease using multiscale entropy.
Review in Neurodegenerative disease management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Selective Motor Entropy Modulation and Targeted Augmentation for the Identification of Parkinsonian Gait Patterns Using Multimodal Gait Analysis.Life (Basel, Switzerland) · 2026Article
- Assessment of Postural Stability in Semi-Open Prisoners: A Pilot Study.Journal of clinical medicine · 2025Article
- CRISP: a correlation-filtered recursive feature elimination and integration of SMOTE pipeline for gait-based Parkinson's disease screening.Frontiers in computational neuroscience · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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