Improved Noise Cancelling Algorithm for Electrocardiogram Based on Moving Average Adaptive Filter

The electrocardiogram (ECG) is basic equipment used in the diagnosis of cardiac illness. However, in non-developed countries, most of the population does not have access to medical tests, and many hospitals do not even have these ECGs. On the other hand, the electrical signals generated by the heart...

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Veröffentlicht in:Electronics (Basel) 2021-10, Vol.10 (19), p.2366
Hauptverfasser: Tanji, Américo K., de Brito, Moacyr A. G., Alves, Marcos G., Garcia, Raymundo C., Chen, Gen-Lang, Ama, Naji R. N.
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container_end_page
container_issue 19
container_start_page 2366
container_title Electronics (Basel)
container_volume 10
creator Tanji, Américo K.
de Brito, Moacyr A. G.
Alves, Marcos G.
Garcia, Raymundo C.
Chen, Gen-Lang
Ama, Naji R. N.
description The electrocardiogram (ECG) is basic equipment used in the diagnosis of cardiac illness. However, in non-developed countries, most of the population does not have access to medical tests, and many hospitals do not even have these ECGs. On the other hand, the electrical signals generated by the heart and acquired by the ECG have low power and are affected by electromagnetic interference (EMI), mainly produced by the electrical system. Filtering EMI when frequency varies is a challenging task. Within this context, this work aims to produce an easy-to-use low-cost ECG with good electromagnetic disturbances rejection. The proposed noise rejection system is composed of two moving average filters and a phase-locked-loop, namely 2MAV-PLL. The system operates with a low sampling frequency and attenuates the EMI noise present in the ECG signal regardless of the amplitude, obtaining a filtered signal with a 44-dB signal–noise ratio (SNR) between the frequencies of± 10 Hz of the fundamental frequency. Simulation and experimental results prove that the ECG system can attenuate the EMI using relatively low sampling frequency, giving adequate information for health professionals to properly evaluate an electrocardiogram.
doi_str_mv 10.3390/electronics10192366
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source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Adaptive filters
Algorithms
Electrocardiography
Electromagnetic interference
Heart
Kalman filters
Noise
Noise levels
Pacemakers
Patients
Phase locked loops
Rejection
Resonant frequencies
Sampling
title Improved Noise Cancelling Algorithm for Electrocardiogram Based on Moving Average Adaptive Filter
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