Feature extraction Electrocardiography Medical signal processing
Bragard J, Palacios-Estremera MC, Saenz-de-Pipaon E, Elorza-Barbajero J, Rua-Seoane JC, Carmona N. Aging of ECG Characteristics over a Five Year Period. En: A. Murray, editor. W. Dassen, P. Laguna, G. Moody, D. Zheng. Computing in Cardiology º ed. Zaragoza: 2013. p.1031-1034.
The aim of this work was to find evidence of aging of
ECG indicators in a population of young adults (52 subjects
of age 19 ± 0.6 in 2002). For this purpose, an application
which analyzes ECG signals was designed and
implemented. The data consist in four different series for
each subject of the studied population. Two ECG signals
of 5 minute duration (one at rest and one after a mild effort)
were taken in 2002 and the exact same procedure was
repeated for each subject five years later in 2007.
All these electrocardiographic signals were examined by
computational techniques in order to extract the RR and
QT intervals and the energy content of the T-wave. Next,
we have compared all the data using first return maps and
measured the data dispersion by evaluating the covariance
ellipses. Relations between each of the four data series
were studied. The analysis also included the gender and
the categorical aspect “practicing sport”.