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

Arnaldo Manuel Guimarães Batista; Manuel Duarte Ortigueira; DEE Group Author

doi:10.1007/978-3-642-11628-5_40

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

Arnaldo Manuel Guimarães Batista, Manuel Duarte Ortigueira, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	Unknown
Title of host publication	IFIP Advances in Information and Communication Technology
Pages	367-373
Volume	314
ISBN (Electronic)	978-3-642-11628-5
DOIs	https://doi.org/10.1007/978-3-642-11628-5_40
Publication status	Published - 1 Jan 2010
Event	1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems - Duration: 1 Jan 2010 → …

Conference

Conference	1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems
Period	1/01/10 → …

Access to Document

10.1007/978-3-642-11628-5_40

http://oa.uninova.pt/4753/

Cite this

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title = "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.",

keywords = "Fibrillation, Cardiac Arrhythmia, Wavelets and Time-Frequency",

author = "Batista, {Arnaldo Manuel Guimar{\~a}es} and Ortigueira, {Manuel Duarte} and {DEE Group Author}",

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doi = "10.1007/978-3-642-11628-5_40",

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AU - Batista, Arnaldo Manuel Guimarães

AU - Ortigueira, Manuel Duarte

AU - DEE Group Author

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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.

AB - 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.

KW - Fibrillation

KW - Cardiac Arrhythmia

KW - Wavelets and Time-Frequency

U2 - 10.1007/978-3-642-11628-5_40

DO - 10.1007/978-3-642-11628-5_40

M3 - Conference contribution

SN - 978-3-642-11627-8

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SP - 367

EP - 373

BT - IFIP Advances in Information and Communication Technology

T2 - 1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems

Y2 - 1 January 2010

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