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dc.contributor.author
Gudowska Nowak, Ewa
dc.contributor.author
Ochab, Jeremi K.
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Oles, Katarzyna
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Beldzik, Ewa
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Chialvo, Dante Renato
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dc.contributor.author
Domagalik, Aleksandra
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Fafrowicz, Magdalena
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Marek, Tadeusz
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Nowak, Maciej A.
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Oginska, Halszka
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Szwed, Jerzy
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Tyburczyk, Jacek
dc.date.available
2018-07-25T14:09:00Z
dc.date.issued
2016-05
dc.identifier.citation
Gudowska Nowak, Ewa; Ochab, Jeremi K.; Oles, Katarzyna; Beldzik, Ewa; Chialvo, Dante Renato; et al.; Seeking a fingerprint: analysis of point processes in actigraphy recording; IOP Publishing; Journal of Statistical Mechanics: Theory and Experiment; 2016; 5; 5-2016; 1-19
dc.identifier.issn
1742-5468
dc.identifier.uri
http://hdl.handle.net/11336/53060
dc.description.abstract
Motor activity of humans displays complex temporal fluctuations which can be characterised by scale-invariant statistics, thus demonstrating that structure and fluctuations of such kinetics remain similar over a broad range of time scales. Previous studies on humans regularly deprived of sleep or suffering from sleep disorders predicted a change in the invariant scale parameters with respect to those for healthy subjects. In this study we investigate the signal patterns from actigraphy recordings by means of characteristic measures of fractional point processes. We analyse spontaneous locomotor activity of healthy individuals recorded during a week of regular sleep and a week of chronic partial sleep deprivation. Behavioural symptoms of lack of sleep can be evaluated by analysing statistics of duration times during active and resting states, and alteration of behavioural organisation can be assessed by analysis of power laws detected in the event count distribution, distribution of waiting times between consecutive movements and detrended fluctuation analysis of recorded time series. We claim that among different measures characterising complexity of the actigraphy recordings and their variations implied by chronic sleep distress, the exponents characterising slopes of survival functions in resting states are the most effective biomarkers distinguishing between healthy and sleep-deprived groups.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
IOP Publishing
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Fluctuations (Theory)
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Self-Organised Criticality (Theory)
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Signal Transduction (Theory)
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Stochastic Processes (Theory)
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Astronomía
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Ciencias Físicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Seeking a fingerprint: analysis of point processes in actigraphy recording
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-18T20:40:57Z
dc.journal.volume
2016
dc.journal.number
5
dc.journal.pagination
1-19
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Gudowska Nowak, Ewa. Marian Smoluchowski Institute of Physics; Polonia. Mark Kac Center for Complex Systems Research; Polonia. Jagiellonian University; Polonia
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Fil: Ochab, Jeremi K.. Mark Kac Center for Complex Systems Research; Polonia. Marian Smoluchowski Institute of Physics; Polonia
dc.description.fil
Fil: Oles, Katarzyna. Mark Kac Center for Complex Systems Research; Polonia. Marian Smoluchowski Institute of Physics; Polonia
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Fil: Beldzik, Ewa. Jagiellonian University; Polonia
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Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Domagalik, Aleksandra. Jagiellonian University; Polonia
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Fil: Fafrowicz, Magdalena. Jagiellonian University; Polonia
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Fil: Marek, Tadeusz. Jagiellonian University; Polonia
dc.description.fil
Fil: Nowak, Maciej A.. Mark Kac Center for Complex Systems Research; Polonia. Marian Smoluchowski Institute of Physics; Polonia
dc.description.fil
Fil: Oginska, Halszka. Jagiellonian University; Polonia
dc.description.fil
Fil: Szwed, Jerzy. Mark Kac Center for Complex Systems Research; Polonia. Marian Smoluchowski Institute of Physics; Polonia
dc.description.fil
Fil: Tyburczyk, Jacek. Mark Kac Center for Complex Systems Research; Polonia. Marian Smoluchowski Institute of Physics; Polonia
dc.journal.title
Journal of Statistical Mechanics: Theory and Experiment
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1088/1742-5468/2016/05/054034
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1088/1742-5468/2016/05/054034/meta
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