Autors: Iliev, I. T., Tabakov, S. D., Кръстева В. Ц.
Title: Real-time detection of pathological cardiac events in the electrocardiogram
Keywords: ECG, patient telemetry, ECG processing

Abstract: The development of accurate and fast methods for real-time electrocardiogram (ECG) analysis is mandatory in handheld fully automated monitoring devices for high-risk cardiac patients. The present work describes a simple software method for fast detection of pathological cardiac events. It implements real-time procedures for QRS detection, interbeat RR-intervals analysis, QRS waveform evaluation and a decision-tree beat classifier. Two QRS descriptors are defined to assess (i) the RR interval deviation from the mean RR interval and (ii) the QRS waveform deviation from the QRS pattern of the sustained rhythm. The calculation of the second parameter requires a specific technique, in order to satisfy the demand for straight signal processing with minimum iterations and small memory size. This technique includes fast and resource efficient estimation of a histogram matrix, which accumulates dynamically the amplitude-temporal distribution of the successive QRS pattern waveforms. The pilot v

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    Physiological Measurement, vol. 28, issue 3, pp. 259-276, 2008, United Kingdom, ISSN 09673334

    Copyright PMEAE

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    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание