Skip to Main content Skip to Navigation
Conference papers

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

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01060760
Contributor : Hal Ifip <>
Submitted on : Thursday, November 16, 2017 - 11:04:11 AM
Last modification on : Tuesday, June 29, 2021 - 12:20:08 PM
Long-term archiving on: : Saturday, February 17, 2018 - 3:35:50 PM

File

NascimentoBAOR10.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Bruno Nascimento, Arnaldo Batista, Luis Brandão Alves, Manuel Ortigueira, Raul Rato. MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.365-372, ⟨10.1007/978-3-642-11628-5_40⟩. ⟨hal-01060760⟩

Share

Metrics

Record views

275

Files downloads

335