| Title | A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals |
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| Authors | Faiz, Mohammed Mujahid Ulla and Kale, Izzet |
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| Type | Conference paper |
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| 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 various parameters are found to be 6-bits and are determined through rigorous simulations. The filtered ECG signal free from 60 Hz PLI is successfully recovered using a novel 6-bit fixed-point LSRA-based adaptive noise canceller. |
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| Year | 2022 |
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| Conference | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) |
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| Publisher | IEEE |
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| Accepted author manuscript | |
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| Publication dates |
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| Published | 24 Aug 2022 |
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| Published in print | 04 Oct 2022 |
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| Journal | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) |
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| ISBN | 9781665497398 |
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| Funder | Presidency University |
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| Digital Object Identifier (DOI) | https://doi.org/10.1109/rtsi55261.2022.9905081 |
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