Key result
The FxLMS algorithm provided better high-frequency noise reduction and a higher signal-to-noise ratio in ECG signals compared to the traditional LMS algorithm.
The FxLMS adaptive filter provides superior high-frequency noise reduction in ECG signals compared to traditional LMS filters, improving signal quality for potential diagnostic use.
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FxLMS may enhance ECG high-frequency noise filtering versus LMS in simulation; leaves open clinical validation before adoption.
This paper proposes a solution using Filtered-x Least Mean Square (FxLMS) to remove high-frequency noise in electrocardiogram (ECG) signals. The simulation results show that the high frequency noise filtering using the proposed solution is better than the noise filtering using the traditional LMS technique in the same scenario.
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A 2022 study studied ECG signal noise. FxLMS algorithm vs. LMS algorithm was evaluated on Signal-to-noise ratio (SNR). The FxLMS algorithm provided better high-frequency noise reduction and a higher signal-to-noise ratio in ECG signals compared to the traditional LMS algorithm.
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