Entropy-based complexity measures for gait data of patients with Parkinson's 
disease

Afsar, O.; Tirnakli, U.; Kurths, Jürgen

doi:10.1063/1.4942352

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Entropy-based complexity measures for gait data of patients with Parkinson's disease

Afsar, O., Tirnakli, U., Kurths, J. (2016): Entropy-based complexity measures for gait data of patients with Parkinson's disease. - Chaos, 26, 23115.
https://doi.org/10.1063/1.4942352

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_20882 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_20882_2

Genre: Journal Article

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Creators:
Afsar, O.¹, Author
Tirnakli, U.¹, Author
Kurths, Jürgen², Author

Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2016

Publication Status: Finally published

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Identifiers: DOI: 10.1063/1.4942352
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7176
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Chaos

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Pages: - Volume / Issue: 26 (23115) Sequence Number: - Start / End Page: - Identifier: -