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Time-shift multiscale entropy analysis of physiological signals
Linköpings universitet, Institutionen för medicinsk teknik, Avdelningen för medicinsk teknik. Linköpings universitet, Tekniska fakulteten. Linkoping University. (Medical Informatics)ORCID-id: 0000-0002-4255-5130
2017 (engelsk)Inngår i: Entropy, ISSN 1099-4300, E-ISSN 1099-4300, Vol. 19, nr 6, artikkel-id 257Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2017. Vol. 19, nr 6, artikkel-id 257
Emneord [en]
approximate entropy, sample entropy, multiscale entropy, higuchi’s fractal dimension, time shift, physiological signals
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-138027DOI: 10.3390/e19060257ISI: 000404454500020OAI: oai:DiVA.org:liu-138027DiVA, id: diva2:1106136
Merknad

Funding agencies: LiU Faculty of Science and Engineering

Tilgjengelig fra: 2017-06-07 Laget: 2017-06-07 Sist oppdatert: 2017-11-29bibliografisk kontrollert

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