Nonlinear Analysis of Stride Interval Time Series in Gait Maturation Using Distribution Entropy

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dc.authoridAlcan, Veysel/0000-0002-7786-8591
dc.contributor.authorAlcan, V.
dc.date.accessioned2025-03-17T12:27:06Z
dc.date.available2025-03-17T12:27:06Z
dc.date.issued2022
dc.departmentTarsus Üniversitesi
dc.description.abstractObjectives: This study aimed to investigate whether DistEn was capable of identifying complexity or irregularity for gait data and whether having low parameter-dependency sensitivity by comparing with the Approximate Entropy (ApEn) and Sample Entropy (SampEn). Material and methods: The data were divided into three groups according to gait maturation. Firstly, the mean amplitude histogram, standard deviation (SD), and the power spectrum were calculated for each group. Secondly, ApEn, SampEn, and DistEn algorithms were calculated. Statistical analyses were then performed to compare groups. Results: For m=3 with M= 256 and M=512 parameters, DistEn showed a statistically significant difference between in pairwise comparisons between all groups (P-a, P-b, and P-c < 0.05). DistEn consistently decreased from Group1, to Group2, and to Group 3. For m=2 with r=0.30 values, SampEn showed a statistically significant difference only in pairwise comparisons between Group1 and Group3 (P-b < 0.05). For with m=3 and r=0.30 parameters, SampEn also showed a statistically significant difference in pairwise comparisons between Group1 and Group3 (P-c < 0.05) as well as Group2 and Group3 (P-c < 0.05) SampEn increased from Group1 to Group3 and from Group2 to Group3. There was not any statistically significant difference in pairwise comparisons of groups for ApEn. Furthermore, DistEn showed less parameter consistency than ApEn and SampEn. Conclusion: DistEn showed the best performance in capture the complexity changes in gain patterns with growth. (C) 2021 AGBM. Published by Elsevier Masson SAS. All rights reserved.
dc.identifier.doi10.1016/j.irbm.2021.02.001
dc.identifier.endpage316
dc.identifier.issn1959-0318
dc.identifier.issn1876-0988
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85101369797
dc.identifier.scopusqualityQ1
dc.identifier.startpage309
dc.identifier.urihttps://doi.org/10.1016/j.irbm.2021.02.001
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2075
dc.identifier.volume43
dc.identifier.wosWOS:000879930800007
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAlcan, V.
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofIrbm
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectDistribution entropy
dc.subjectGait
dc.subjectNonlinear time analysis
dc.subjectIrregularity
dc.titleNonlinear Analysis of Stride Interval Time Series in Gait Maturation Using Distribution Entropy
dc.typeArticle

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