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