2006
DOI: 10.1109/tbme.2006.883631
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An Improved Adaptive Power Line Interference Canceller for Electrocardiography

Abstract: Power line interference may severely corrupt a biomedical recording. Notch filters and adaptive cancellers have been suggested to suppress this interference. We propose an improved adaptive canceller for the reduction of the fundamental power line interference component and harmonics in electrocardiogram (ECG) recordings. The method tracks. the amplitude, phase, and frequency of all the interference components for power line frequency deviations up to about 4 Hz. A comparison is made between the performance of… Show more

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Cited by 125 publications
(86 citation statements)
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“…Secondly, high frequency noise was reduced with an eight order bidirectional IIR Chebyshev low pass filtering, whose cut-off frequency was 70 Hz [18]. Finally, powerline interference was removed through adaptive notch filtering, which preserves the ECG spectral information [19].…”
Section: Data Preprocessingmentioning
confidence: 99%
“…Secondly, high frequency noise was reduced with an eight order bidirectional IIR Chebyshev low pass filtering, whose cut-off frequency was 70 Hz [18]. Finally, powerline interference was removed through adaptive notch filtering, which preserves the ECG spectral information [19].…”
Section: Data Preprocessingmentioning
confidence: 99%
“…This type of filter has been shown useful in many biomedical applications [11,13,15], e.g. power line interference cancellation in ECG signals [22], and foetal ECG recording by using mother's ECG as a correlated noise source for adaptive noise cancellation [10].…”
mentioning
confidence: 99%
“…Then, unbiased vector s 0 is filtered to reduce signal disturbances and artifacts. Specifically, power line interference is reduced using an algorithm based on adaptive sinusoidal interference canceller that provides significant signal-to-noise ratio improvement Martens et al (2006). Also, the baseline wandering is cancelled out by the method described in Roddy (1991) that is based on a two-pole, phase-compensated filter, developed for realtime processing of long ECG segments.…”
Section: Preprocessing and Segmentationmentioning
confidence: 99%