Questo lavoro si propone di far conoscere due importanti applicazioni della Matematica all'analisi dell'elettrocardiogramma(ECG). La prima eè quella del riconoscimento delle principali caratteristiche dell'ECG e in particolare del picco R, che corrisponde alla sistole. Si considerano due metodi: i filtri lineari e l'analisi multiscala basata sulle wavelet. La seconda riguarda l'analisi della serie temporale degli intervalli che separano due picchi R consecutivi dell'ECG (sequenza RR), che descrive l'andamento nel tempo della frequenza cardiaca. Qui i metodi considerati sono quelli dell'analisi spettrale e dell'analisi simbolica. Di quest'ultima si illustra un'applicazione all'analisi di sequenze RR di fibrillazione atriale.
his paper describes two important applications of Mathematics to the analysis of electrocardiograms (ECG). The first consists of the recognition of the main features of ECG, in particular of the R peak corresponding to systole. We consider two methods: the linear filters and the wavelet analysis. The second consists of the analysis of the time series of intervals between two consecutive R peaks (RR series) which describes the heart rate evolution. Here we consider two methods: spectral analysis and symbolic analysis. We give an application of symbolic analysis to atrial fibrillation RR series.
@article{BUMI_2007_8_10A_3_537_0,
author = {Camillo Cammarota and Enrico Rogora},
title = {Alcune applicazioni della Matematica all'analisi dell'elettrocardiogramma},
journal = {Bollettino dell'Unione Matematica Italiana},
volume = {10-A},
year = {2007},
pages = {537-561},
mrnumber = {2394382},
language = {it},
url = {http://dml.mathdoc.fr/item/BUMI_2007_8_10A_3_537_0}
}
Cammarota, Camillo; Rogora, Enrico. Alcune applicazioni della Matematica all'analisi dell'elettrocardiogramma. Bollettino dell'Unione Matematica Italiana, Tome 10-A (2007) pp. 537-561. http://gdmltest.u-ga.fr/item/BUMI_2007_8_10A_3_537_0/
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