Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction.

L Eduardo Cofré Lizama, Liuhua Peng, Tomas Kalincik, Mary P Galea, Maya G Panisset

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

Measuring Walking Stability with a Mobile Phone in Older Adults: A Validation Study.Sensors (Basel, Switzerland) · 2026
Article
Non-linear measures of movement variability in multiple sclerosis: a clinical narrative review of Lyapunov exponent and entropy applications in balance and gait.Frontiers in neurology
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

L Eduardo Cofré LizamaDepartment of Allied Health, School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia.ORCID 0000-0002-3490-4521

Liuhua PengSchool of Mathematics and Statistics, The University of Melbourne, Parkville, VIC 3050, Australia.

Tomas KalincikNeuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne, VIC 3052, Australia.

Mary P GaleaDepartment of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC 3052, Australia.

Maya G PanissetDepartment of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC 3052, Australia.ORCID 0000-0002-8353-4061

Funding

MS Research Australia (2019-22) 2019-22UoM-ECR Fellowship 2023 2023

6 · The paper itself

Abstract

backgroundUsing the local divergence exponent (LDE), it has been concluded that walking stability is impaired in people with multiple sclerosis (pwMS). However, the use of several calculation approaches hinders comparisons across studies. We aimed to determine whether using different parameters for state space reconstruction to calculate LDE affects the classification of pwMS.

methodsA total of 55 pwMS and 23 controls walked up and down a 20 m corridor for 5 min. The LDE was calculated using three different combinations of n-dimensions (

resultsThe best classification accuracy, 84%, was achieved when using the LDE obtained with norm acceleration data from the sternum sensor with a fixed

conclusionsLDEs calculated with a fixed

Indexed as

Multiple SclerosisAdultAlgorithmsFemaleGaitHumansMaleMiddle AgedWalkingdynamicLyapunovmultiple sclerosisstabilitystate space

Identifiers

PMID40363258

DOI10.3390/s25092819

PMCPMC12074368

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