Title | A New Fixed Point Noise Cancellation Method for Suppressing Power Line Interference in Electrocardiogram Signals |
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Authors | Faiz, Mohammed Mujahid Ulla, Reni, Saumya Kareem and Kale, Izzet |
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Type | Conference paper |
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Abstract | In this article, a new fixed point Leaky Sign Regressor Least Mean Mixed Norm (LSRLMMN) powered adaptive noise cancellation technique is being used for eliminating the Power Line Interference (PLI) noise embedded in the ElectroCardioGram (ECG) signal. The fixed point LSRLMMN powered noise cancellation technique used in this article has been completely quantized. The intention for the extensive quantization study and modeling approach was with a view to the physical integrated circuit implementation. All the modeling and simulation studies were carried out at the bit-level with various loss of precision schemes to ensure compliance with the set specification. The filter coefficients and all the data paths are quantized in order to establish at a high-level behavioral level of the parameters for a decreased complexity in integrated circuit implementation. |
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Year | 2022 |
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Conference | 2022 E-Health and Bioengineering Conference (EHB) |
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Publisher | IEEE |
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Accepted author manuscript | |
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Publication dates |
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Published | 17 Nov 2022 |
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Published in print | 17 Nov 2022 |
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Journal | 2022 E-Health and Bioengineering Conference (EHB) |
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ISBN | 9781665485579 |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/ehb55594.2022.9991707 |
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