liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
Time-shift multiscale entropy analysis of physiological signals
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linkoping University. (Medical Informatics)ORCID iD: 0000-0002-4255-5130
2017 (English)In: Entropy, ISSN 1099-4300, E-ISSN 1099-4300, Vol. 19, no 6, 257Article in journal (Refereed) Published
Abstract [en]

Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for generating multiple time series, enabling the capture of more useful information than using a scalar value produced by the two entropy methods. This paper presents the use of different time shifts on various intervals of time series to discover different entropy patterns of the time series. Examples and experimental results using white noise, 1/ f noise, photoplethysmography, and electromyography signals suggest the validity and better performance of the proposed time-shift multiscale entropy analysis of physiological signals than the multiscale entropy.

Place, publisher, year, edition, pages
2017. Vol. 19, no 6, 257
Keyword [en]
approximate entropy, sample entropy, multiscale entropy, higuchi’s fractal dimension, time shift, physiological signals
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138027DOI: 10.3390/e19060257ISI: 000404454500020OAI: oai:DiVA.org:liu-138027DiVA: diva2:1106136
Note

Funding agencies: LiU Faculty of Science and Engineering

Available from: 2017-06-07 Created: 2017-06-07 Last updated: 2017-08-07Bibliographically approved

Open Access in DiVA

fulltext(878 kB)17 downloads
File information
File name FULLTEXT01.pdfFile size 878 kBChecksum SHA-512
3efa998ad0adf3134048564611ee7db13a19b3714e26a51a03fb190267533fb9a1ba8ddacac706008d5b2ad41db0582bfff9ab5d9f472cc1fc66ebf48c2eaeb0
Type fulltextMimetype application/pdf

Other links

Publisher's full texthttp://www.mdpi.com/1099-4300/19/6/257/html

Search in DiVA

By author/editor
Pham, Tuan
By organisation
Division of Biomedical EngineeringFaculty of Science & Engineering
In the same journal
Entropy
Other Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 17 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 440 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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