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

Hnatkova, K; Waktare, J E P; Meurling, Carl LU ; Nagayoshi, H; Janota, T; Camm, A J and Malik, M (1998) Computers in Cardiology 1998. Annual conference of computers in cardiology In Computers in Cardiology 25. p.533-536
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... (More)
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. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Computers in Cardiology
volume
25
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computers in Cardiology 1998. Annual conference of computers in cardiology
external identifiers
  • scopus:12444338459
ISBN
0-7803-5200-9
DOI
10.1109/CIC.1998.731920
language
English
LU publication?
yes
id
7eee6865-30b8-470d-bb83-e421d4dca87c (old id 1114073)
date added to LUP
2008-07-16 15:55:40
date last changed
2017-01-01 08:05:43
@inproceedings{7eee6865-30b8-470d-bb83-e421d4dca87c,
  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.},
  author       = {Hnatkova, K and Waktare, J E P and Meurling, Carl and Nagayoshi, H and Janota, T and Camm, A J and Malik, M},
  booktitle    = {Computers in Cardiology},
  isbn         = {0-7803-5200-9},
  language     = {eng},
  pages        = {533--536},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Computer package generating non-invasive atrial electrograms: Detection and subtraction of QRS and T waves},
  url          = {http://dx.doi.org/10.1109/CIC.1998.731920},
  volume       = {25},
  year         = {1998},
}