Computer package generating non-invasive atrial electrograms: Detection and subtraction of QRS and T waves

K Hnatkova, J E P Waktare, Carl Meurling, H Nagayoshi, T Janota, A J Camm, M Malik

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Computerized systems to localize specific patterns appearing in ECG signal, such as the QRS complex and T wave usually utilize predefined templates. Where the signal is not clean, such as during atrial fibrillation (AF), analysis based on self-similarities of the ECG signal appears to be more stable. The authors describe a software package which uses self-similarity techniques to allow the subtraction of ventricular signals during AF. The dataset used in this study was Holter ECG recorded in 23 patients (11 male, age 61.1±8.7 years) with chronic AF using an Altair 6500 digital Holter (Burdick Inc., 3 channels, 1 kHz sampling). Self-similarities between corresponding QRS and corresponding T windows were assessed using Spearman correlation coefficients, utilising the commercial software derived fiducial point but with shifted windows to overcome possible minor imprecision thereof. A linear order algorithm successfully subtracted 87% of QRS's and 67% of T waves.
Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages533-536
Number of pages4
Volume25
ISBN (Print)0-7803-5200-9
DOIs
Publication statusPublished - 1998
EventComputers in Cardiology 1998. Annual conference of computers in cardiology - Cleveland, OH
Duration: 1998 Sept 131998 Sept 16

Publication series

Name
Volume25

Conference

ConferenceComputers in Cardiology 1998. Annual conference of computers in cardiology
Period1998/09/131998/09/16

Subject classification (UKÄ)

  • Cardiology and Cardiovascular Disease

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