Computer package generating non-invasive atrial electrograms: Detection and subtraction of QRS and T waves
(1998) Computers in Cardiology 1998. Annual conference of 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1114073
- author
- Hnatkova, K ; Waktare, J E P ; Meurling, Carl LU ; Nagayoshi, H ; Janota, T ; Camm, A J and Malik, M
- organization
- publishing date
- 1998
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference dates
- 1998-09-13 - 1998-09-16
- 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
- 2016-04-04 11:52:17
- date last changed
- 2022-01-29 22:36:25
@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}}, doi = {{10.1109/CIC.1998.731920}}, volume = {{25}}, year = {{1998}}, }