@conference {5427,
	title = {MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization},
	booktitle = {Emerging Trends in Technological Innovation. 314:367{\textendash}373.},
	year = {2010},
	abstract = {<p>A software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency ?signature? is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.</p>
},
	url = {http://oa.uninova.pt/4753/},
	author = {Nascimento, B and Batista, A. and Alves, L.B. and Ortigueira, M. and Rato, R.}
}
