Improved signal averaging and beat-to-beat adaptive identification methods enhance the alignment and interpretation of low-level ECG signals such as P and T waves.
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May aid ECG research on subtle signals; leaves open clinical validation and adoption.
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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Jesus et al. (1988) studied this question.
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