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NONLINEAR DYNAMICS ANALYSIS OF SHORT-TIME PHOTOPLETHYSMOGRAM IN PARKINSONS DISEASE
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-4255-5130
Chaos Technol Res Lab, Japan.
2018 (English)In: 2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Photoplethysmogram (PPG) signals obtained from wearable sensors have been utilized for monitoring health conditions in both clinical and non-clinical environments, mostly concerning with heart-rate events. This paper shows the potential use of short-time PPG signals for differentiating patients with Parkinsons disease (PD) from healthy control (HC) subjects with nonlinear dynamics analysis. Multiscale entropy, time-shift multiscale entropy, and fuzzy recurrence plots were applied for extracting features from PPG signals of PD patients and HC subjects. Least-square support vector machine based cross-validations of the features extracted from the three nonlinear dynamics analysis methods achieve high classification rates, where those obtained from fuzzy recurrence plots are the highest.

Place, publisher, year, edition, pages
IEEE , 2018.
Series
IEEE International Conference on Fuzzy Systems, ISSN 1098-7584
Keywords [en]
Photoplethysmography; wearable sensors; nonlinear dynamics; fuzzy logic; Parkinsons disease
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-153562DOI: 10.1109/FUZZ-IEEE.2018.8491529ISI: 000451248900088ISBN: 978-1-5090-6020-7 (print)ISBN: 978-1-5090-6021-4 (print)OAI: oai:DiVA.org:liu-153562DiVA, id: diva2:1273020
Conference
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2018-12-20

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf