Novel probabilistic algorithms for dynamic monitoring of electrocardiogram waveforms

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Аннотация

Novel algorithms for dynamic monitoring of electrocardiogram waveforms are presented. Their objective is to measure drug-induced changes in cardiac rhythm, principally by means of the QT-interval.

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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Информация об авторах

Strachan Iain, OBS Medical Co. Ltd, Abingdon, Oxon, United Kingdom

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