Literature DB >> 12780239

Nonlinear noise reduction for electrocardiograms.

Thomas Schreiber1, Daniel T. Kaplan.   

Abstract

The electrical activity of the heart usually shows dynamical behavior which is neither periodic nor deterministically chaotic: The interbeat intervals seem to contain a random component. Although long term predictions are thus impossible, good predictions can be made for times smaller than one heart cycle. This fact is used in order to suppress measurement errors by a local geometric projection method which was originally developed for chaotic signals. The result constitutes evidence that techniques of time series analysis based on chaos theory can be useful despite the fact that very few natural phenomena have been actually established to be deterministically chaotic. (c) 1996 American Institute of Physics.

Year:  1996        PMID: 12780239     DOI: 10.1063/1.166148

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  3 in total

1.  A Review of Fetal ECG Signal Processing; Issues and Promising Directions.

Authors:  Reza Sameni; Gari D Clifford
Journal:  Open Pacing Electrophysiol Ther J       Date:  2010-01-01

2.  The information content of Doppler ultrasound signals from the fetal heart.

Authors:  S A Shakespeare; J A Crowe; B R Hayes-Gill; K Bhogal; D K James
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

3.  Model-free detection of unique events in time series.

Authors:  Zsigmond Benkő; Tamás Bábel; Zoltán Somogyvári
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  3 in total

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