Population-based beat-to-beat QT analysis from Holter recordings in the long QT syndrome.
Population-based beat-to-beat QT analysis from Holter recordings in the long QT syndrome.
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DOI:
10.1016/j.jelectrocard.2017.08.008
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发表时间:
2017-11
影响因子:
1.3
通讯作者:
Couderc JP
中科院分区:
文献类型:
--
作者:
Page A;McNitt S;Xia X;Zareba W;Couderc JP
The increasing dissemination of wearable ECG recorders (e.g. Holter, patches, and strap sensors) enables the acquisition of large amounts of data during long periods of time. However, the clinical value of these long-term continuous recordings is hindered by the lack of automatic tools to extract clinically relevant information (other than non-sinus and life-threatening rhythms) from such long-term data, particularly when targeting population-based research. In this work, we propose and test a new tool for analyzing beat-to-beat interval measurements and extracting features from Holter ECGs. Specifically, we assess the adaptation of the QT interval following sudden changes in heart rate in the primary long QT types (1 & 2). We find that in long QT syndrome type 2, certain QT adaptation patterns can indicate a higher risk for cardiac events.
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DOI:
10.1046/j.1540-8167.2003.02431.x
发表时间:
2003-03-01
影响因子:
2.7
作者:
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通讯作者:
Touboul, P
影响因子:
1.3
作者:
Pueyo, E;Smetana, P;Malik, M
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Malik, M
影响因子:
3.3
作者:
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影响因子:
5.4
作者:
Couderc JP;Xia X;Denjoy I;Extramiana F;Maison-Blanche P;Moss AJ;Zareba W;Lopes CM
通讯作者:
Lopes CM
DOI:
10.1111/j.1542-474x.2010.00402.x
发表时间:
2011-01
期刊:
Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
影响因子:
--
作者:
Couderc JP;Garnett C;Li M;Handzel R;McNitt S;Xia X;Polonsky S;Zareba W
通讯作者:
Zareba W