Title | A novel fixed-point leaky sign regressor algorithm based adaptive noise canceller for PLI cancellation in ECG signals |
---|
Authors | Faiz, Mohammed Mujahid Ulla and Kale, Izzet |
---|
Type | Conference paper |
---|
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. |
---|
Year | 2022 |
---|
Conference | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) |
---|
Publisher | IEEE |
---|
Accepted author manuscript | |
---|
Publication dates |
---|
Published | 24 Aug 2022 |
---|
Published in print | 04 Oct 2022 |
---|
Journal | 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) |
---|
ISBN | 9781665497398 |
---|
Funder | Presidency University |
---|
Digital Object Identifier (DOI) | https://doi.org/10.1109/rtsi55261.2022.9905081 |
---|