MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages367-373
Volume314
ISBN (Electronic)978-3-642-11628-5
DOIs
Publication statusPublished - 1 Jan 2010
Event1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems -
Duration: 1 Jan 2010 → …

Conference

Conference1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems
Period1/01/10 → …

Cite this

Batista, A. M. G., Ortigueira, M. D., & DEE Group Author (2010). MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. In IFIP Advances in Information and Communication Technology (Vol. 314, pp. 367-373) https://doi.org/10.1007/978-3-642-11628-5_40