Automatic classification of interference patterns in driven event series: application to single sympathetic neuron discharge forced by mechanical ventilation

Biological cybernetics
Alberto PortaM P Gilbey

Abstract

This study proposes a method for the automatic classification of nonlinear interactions between a strictly periodical event series modelling the activity of an exogenous oscillator working at a fixed and well-known rate and an event series modelling the activity of a self-sustained oscillator forced by the exogenous one. The method is based on a combination of several well-known tools (probability density function of the cyclic relative phase, probability density function of the count of forced events per forcing cycle, conditional entropy of the cyclic relative phase sequence and a surrogate data approach). Classification is reached via a sequence of easily applicable decision rules, thus rendering classification virtually user-independent and fully reproducible. The method classifies four types of dynamics: full uncoupling, quasiperiodicity, phase locking and aperiodicity. In the case of phase locking, the coupling ratio (i.e. n: m) and the strength of the coupling are calculated. The method, validated on simulations of simple and complex phase-locking dynamics corrupted by different levels of noise, is applied to data derived from one anesthetized and artificially ventilated rat to classify the nonlinear interactions between...Continue Reading

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Citations

Jan 13, 2006·Biological cybernetics·M BarbiD Menicucci
Mar 28, 2009·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Maik RiedlNiels Wessel
Apr 11, 2014·PloS One·Maik RiedlNiels Wessel
May 15, 2013·European Journal of Pharmacology·Katya RigattoMohan K Raizada
Jan 12, 2017·European Journal of Applied Physiology·Lucenildo Silva CerqueiraJurandir Nadal
Dec 12, 2013·The European Physical Journal. E, Soft Matter·Yann von HansenRoland R Netz
Jan 5, 2017·Physiological Measurement·Claudio Enrico MazzuccoAlberto Porta
Apr 16, 2016·Journal of the Renin-angiotensin-aldosterone System : JRAAS·Karina Rabello CasaliRobson A Santos
Mar 7, 2017·Physiological Measurement·Karsten BergNiels Wessel

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