Abstract
The primary diagnostic tools allowing the detection of cardiovascular system diseases through the study of bioelectric activity of the heart are the electrocardiographic systems. The low amplitude ECG signal is usually disturbed by various types of noise, particularly by power line interference, which should be reduced without distortion of useful signal component. Since the amplitude (sometimes also frequency) of such noise varies in time, the adaptive approach may be applied to construct time-varying frequency characteristic filter.
This paper presents an approach to adaptive filtering based on set of infinite impulse response (IIR) bandpass filters, which responses are base for noise amplitude and frequency estimation. These values are used to adjust parameters of notch filter originally proposed by Mortara. The performance of the new method is numerically evaluated using the artificial ECG signal from CTS database combined with simulated power line noise with varying amplitude and frequency.
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Momot, A., Momot, M. (2010). Adaptive Time-Varying Frequency Characteristic Filtering of ECG Signal. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_28
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DOI: https://doi.org/10.1007/978-3-642-13105-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13104-2
Online ISBN: 978-3-642-13105-9
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