Literature DB >> 17945770

Correction of erroneous and ectopic beats using a point process adaptive algorithm.

Riccardo Barbieri1, Emery N Brown.   

Abstract

We present a new R-R interval correction procedure based on a point process model of the human heart beat. The algorithm combines an adaptive point process filter with a set of conditions on the probability of having a beat according to the model. This framework allows for correction of ectopic and erroneously detected beats in an on-line fashion, simultaneous with computation of instantaneous estimates of heart rate and heart rate variability. Results demonstrate the efficacy of the method, and show new heart rate and heart rate variability dynamics corrected for artifacts introduced by incorrect and/or irregular R-R intervals.

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Year:  2006        PMID: 17945770     DOI: 10.1109/IEMBS.2006.260325

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  A real-time automated point-process method for the detection and correction of erroneous and ectopic heartbeats.

Authors:  Luca Citi; Emery N Brown; Riccardo Barbieri
Journal:  IEEE Trans Biomed Eng       Date:  2012-08-02       Impact factor: 4.538

2.  The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24-hr cardiac recordings.

Authors:  Nicolas J C Stapelberg; David L Neumann; David H K Shum; Harry McConnell; Ian Hamilton-Craig
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-07-02       Impact factor: 1.468

3.  nSTAT: open-source neural spike train analysis toolbox for Matlab.

Authors:  I Cajigas; W Q Malik; E N Brown
Journal:  J Neurosci Methods       Date:  2012-09-05       Impact factor: 2.390

  3 in total

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