High resolution ECG analysis by an improved signal averaging method and comparison with a beat-to-beat approach.
The aim of this paper is to describe the analysis of a high resolution ECG recorded from the body surface. Standard signal averaging techniques are improved by using a new time delay estimation method which leads to a better alignment accuracy of P and T waves. A second method uses adaptive identification to achieve a beat by beat fine ECG estimation. Information provided by the two methods allows a better interpretation of low and very low level signals.
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Laboratoire de Signaux et Systèmes, UA 814 du CNRS, Université de Nice, France.
Rix
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D000465:Algorithms; D004562:Electrocardiography; D001330:Electronic Data Processing; D006329:Heart Conduction System; D006339:Heart Rate; D006801:Humans; D008433:Mathematics; D008954:Models, Biological