Моделирование и анализ данных
2012. Том 2. № 1. С. 25–34
ISSN: 2219-3758 / 2311-9454 (online)
Novel probabilistic algorithms for dynamic monitoring of electrocardiogram waveforms
Аннотация
Общая информация
Ключевые слова: Electrocardiogram waveforms, Hidden Markov models
Рубрика издания: Научная жизнь
Тип материала: научная статья
Для цитаты: Strachan I. Novel probabilistic algorithms for dynamic monitoring of electrocardiogram waveforms // Моделирование и анализ данных. 2012. Том 2. № 1. С. 25–34.
Фрагмент статьи
In this paper we present two novel algorithms for dynamic monitoring of electrocardiogram waveforms (ECG). The objective of the algorithms is to measure drug-induced changes in cardiac rhythm, principally by means of the QT-interval – the time between the onset of ventricular depolarisation and the end ventricular repolarisation. This is a recognised biomarker which may indicate increased risk of cardiac arrhythmia, which may arise if the action of a drug prolongs this interval.
Литература
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- Sarapa N., Morganroth J., Couderc J.P. et al, “Electrocardiographic identification of drug-induced QT prolongation: Assessment by different recording and measurement methods”, A.N.E., 2004, Vol 9, No 1, pp 48–57.
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