| Issue |
EPL
Volume 107, Number 1, July 2014
|
|
|---|---|---|
| Article Number | 18003 | |
| Number of page(s) | 6 | |
| Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
| DOI | https://doi.org/10.1209/0295-5075/107/18003 | |
| Published online | 08 July 2014 | |
Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis
1 Department of Information Engineering and Research Centre “E. Piaggio”, Faculty of Engineering, University of Pisa - Pisa, Italy
2 Department of Psychiatry and Mental Health, Strasbourg University Hospital, INSERM U1114, University of Strasbourg - F-67000 Strasbourg, France
Received: 20 March 2014
Accepted: 17 June 2014
This paper demonstrates that heartbeat complex dynamics is modulated by different pathological mental states. Multiscale entropy analysis was performed on R-R interval series gathered from the electrocardiogram of eight bipolar patients who exhibited mood states among depression, hypomania, and euthymia, i.e., good affective balance. Three different methodologies for the choice of the sample entropy radius value were also compared. We show that the complexity level can be used as a marker of mental states being able to discriminate among the three pathological mood states, suggesting to use heartbeat complexity as a more objective clinical biomarker for mental disorders.
PACS: 87.19.Hh – Cardiac dynamics / 87.85.Ng – Biological signal processing
© EPLA, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.