Identification of periodic patterns in biosignals by computation of recurrence times of unstable periodic orbits

Author

Vosschulte, Paul ; Kurlemann, Gerd ; Harms, Erik

Author_Institution

Children´´s Univ. Hospital, Munster, Germany

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1473

Abstract

We propose the computation of the recurrence times of unstable periodic orbits for pattern detection in biosignals. This approach can be applied to all time series which are part of a dynamic system with a few degrees of freedom. No template has to be given. As an example we show extraction of breathing patterns out of the thoracic impedance signal of a preterm infant during periodic breathing

Keywords

bioelectric phenomena; electric impedance measurement; feature extraction; identification; medical signal processing; physiological models; pneumodynamics; time series; biosignals; breathing patterns; dynamic system; few degrees of freedom; identification; pattern detection; periodic breathing; periodic patterns; preterm infant; recurrence times; thoracic impedance signal; time series; unstable periodic orbits; Autocorrelation; Data mining; Delay effects; Embedded computing; Hospitals; Impedance; Nonlinear dynamical systems; Orbital calculations; Orbits; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579783

Filename

579783