Techniques for event and feature detection

Jason Ng*, Jeffrey J. Goldberger

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Event and feature detection are important aspects of signal processing in cardiology. Knowledge of the rate and rhythm of the heart are critical aspects of patient monitoring. Even within a single beat, the different phases of the cardiac cycle provide important information of the physiology. Although this information could be gleaned manually from the electrocardiogram, continuous blood pressure, or respiratory signals, having automatic calculations of the rates, rhythms, and amplitudes of these different signals nearly instantaneously saves precious time that could be used to save a patient's life. These real-time measurements are often also linked to visual or audio alarms that alert hospital staff when something is going wrong. Cardiac gating for image acquisition requires accurate identification of electrocardiographic features. Automatic event and feature detection is also useful in off-line analysis and in automated analysis for cardiac imaging (i.e., determining the heart's boundaries). This chapter will discuss common signal processing techniques that are used for event and feature detection.

Original languageEnglish (US)
Title of host publicationPractical Signal and Image Processing in Clinical Cardiology
PublisherSpringer London
Pages43-55
Number of pages13
ISBN (Print)9781848825147
DOIs
StatePublished - Dec 1 2010

ASJC Scopus subject areas

  • Medicine(all)

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