Open AccessEnhancing coronary Wave Intensity Analysis robustness by high order central finite differences
Author(s) -
Simone Rivolo,
Kaleab Asrress,
Amedeo Chiribiri,
Eva Sammut,
Roman Wesołowski,
Lars Bloch,
Anne Krogh Grøndal,
Jesper L. Honge,
Won Yong Kim,
Michael Marber,
Simon Redwood,
Eike Nagel,
Nicolas P. Smith,
Jack Lee
Publication year - 2014
Publication title -
artery research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 20
eISSN - 1876-4401
pISSN - 1872-9312
DOI - 10.1016/j.artres.2014.03.001
Subject(s) - differentiator , robustness (evolution) , smoothing , filter (signal processing) , waveform , adaptive filter , medicine , algorithm , mathematics , computer science , statistics , telecommunications , biochemistry , chemistry , radar , computer vision , gene
Coronary Wave Intensity Analysis (cWIA) is a technique capable of separating the effects of proximal arterial haemodynamics from cardiac mechanics. Studies have identified WIA-derived indices that are closely correlated with several disease processes and predictive of functional recovery following myocardial infarction. The cWIA clinical application has, however, been limited by technical challenges including a lack of standardization across different studies and the derived indices' sensitivity to the processing parameters. Specifically, a critical step in WIA is the noise removal for evaluation of derivatives of the acquired signals, typically performed by applying a Savitzky-Golay filter, to reduce the high frequency acquisition noise.