In this paper a general framework is presented for morphological modeling of cardiac signals from a signal decomposition perspective. General properties of a desired morphological model are presented and special cases of the model are studied in detail. The presented approach is studied for modeling the morphology of electrocardiogram (ECG) signals. Specifically, three types of ECG modeling techniques, including polynomial spline models, sinusoidal model and a model previously presented by McSharry et al., are studied within this framework. The proposed method is applied to datasets from the PhysioNet ECG database for compression and modeling of normal and abnormal ECG signals. Quantitative and qualitative results of these applications are also presented and discussed.
Morphological modeling of cardiac signals based on signal decomposition / E. Kheirati Roonizi, R. Sameni. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 43:10(2013 Oct), pp. 1453-1461.
|Titolo:||Morphological modeling of cardiac signals based on signal decomposition|
|Parole Chiave:||morphological modeling; signal decomposition; electrocardiogram modeling; electrocardiogram compression|
|Settore Scientifico Disciplinare:||Settore ING-INF/06 - Bioingegneria Elettronica e Informatica|
|Data di pubblicazione:||ott-2013|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.compbiomed.2013.06.017|
|Appare nelle tipologie:||01 - Articolo su periodico|