2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) 2022
DOI: 10.1109/rtsi55261.2022.9905081
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A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals

Abstract: In this paper, a novel fixed-point Leaky Sign Regressor Algorithm (LSRA) based adaptive noise canceller has been employed for the cancellation of 60 Hz Power Line Interference (PLI) from the ElectroCardioGram (ECG) signal. A sufficient condition for the convergence in the mean of the LSRA algorithm is also derived. The fixed-point LSRA-based adaptive noise canceller employed in this work is fully quantized using an in-house quantize function. The most effective number of quantization bits required for the vari… Show more

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Cited by 3 publications
(4 citation statements)
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“…Note that the expression for the step size upper bound of the LSRLMS algorithm in ( 9) is exactly the same as that derived in [12].…”
Section: Stability Bound Of the Lsrlmmn Algorithmmentioning
confidence: 94%
See 3 more Smart Citations
“…Note that the expression for the step size upper bound of the LSRLMS algorithm in ( 9) is exactly the same as that derived in [12].…”
Section: Stability Bound Of the Lsrlmmn Algorithmmentioning
confidence: 94%
“…The proposed LSRLMMN algorithm is used in the fixed point noise cancellation technique described in [12], [13]. The LSRLMMN algorithm is a mixture of the LSRLMS and Leaky Sign Regressor Least Mean Fourth (LSRLMF) algorithms as long as the mixing variable ∆ is in the range of 0 < ∆ < 1.…”
Section: Stability Bound Of the Lsrlmmn Algorithmmentioning
confidence: 99%
See 2 more Smart Citations