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.
|Title of host publication||IFIP Advances in Information and Communication Technology|
|Publication status||Published - 1 Jan 2010|
|Event||1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems - |
Duration: 1 Jan 2010 → …
|Conference||1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems|
|Period||1/01/10 → …|
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