2016
DOI: 10.1109/access.2016.2548362
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An Intelligent Adaptive Filter for Elimination of Power Line Interference From High Resolution Electrocardiogram

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Cited by 40 publications
(20 citation statements)
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“…The authors have retracted this article [1] because Figures 1, 2, 3, 4, 7B, 17 and Tables 1 and 2 were duplicated and additional content was adapted from a previously published article by Razzaq et al [2], without the permission of the authors of [2] . All authors of [1] agree to this retraction.…”
mentioning
confidence: 99%
“…The authors have retracted this article [1] because Figures 1, 2, 3, 4, 7B, 17 and Tables 1 and 2 were duplicated and additional content was adapted from a previously published article by Razzaq et al [2], without the permission of the authors of [2] . All authors of [1] agree to this retraction.…”
mentioning
confidence: 99%
“…36,37 Researchers mitigated impulsive, BW, and PLI from degraded ECG by opting SSRLS. [38][39][40][41][42][43][44] It is very effective in mitigating 50 Hz sinusoidal noise irrespective of information about adaptive filter parameters but at a cost of high complexity.…”
Section: Related Workmentioning
confidence: 99%
“…PLI is a significant source of noise in the frequency range of 50-60 Hz. State Space Recursive Least Square Adaptive Filter (SSRLS), ANF, and Fast Fourier Transform (FFT) Filter-based denoising of power-line interference is performed by [26][27][28], [31] and unknown external disturbances are removed by adaptive control schemes in [32]. Other external white noise can be removed by Hardware Descriptive Language (HDL)-based Finite Impulse Response (FIR) filters and NN-based Denoising Autoencoders (DAE) [22][23][24], [29].…”
Section: B Stage2: Denoisingmentioning
confidence: 99%