Enhancing the Electrocardiogram Signal Quality by Applying Butterworth Infinite Impulse Response Filter 8th Order

Nindia Rena  Saputri; Sari Luthfiyah; Dyah  Titisari; Bedjo  Utomo; Lusiana Lusiana; Triwiyanto Triwiyanto; Faheem Ahmad  Reegu; Wahyu Caesarendra

doi:10.35882/jeeemi.v4i4.259

Nindia Rena Saputri Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
Sari Luthfiyah Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0001-9677-7209
Dyah Titisari Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0003-0125-2384
Bedjo Utomo Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0002-7295-7923
Lusiana Lusiana Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0002-2453-0036
Triwiyanto Triwiyanto Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0003-3179-8900
Faheem Ahmad Reegu College of Computer Science and Information Technology, Jazan Unversity, Jizan, Saudi Arabia https://orcid.org/0000-0002-9167-3061
Wahyu Caesarendra Faculty of Integrated Technologies, Universiti Brunei Darussalam, Brunei Darussalam. https://orcid.org/0000-0002-9784-4204

DOI: https://doi.org/10.35882/jeeemi.v4i4.259

Keywords: Electrocardiograph, Analog Filter, Digital Filter

Abstract

The electrocardiogram (ECG) of the human body is an important basis in heart function as well as the diagnosis of cardiovascular diseases, which has a very vital role in clinical diagnosis. Obtaining high-quality ECG signals with a portable remote ECG acquisition system is a big challenge given limited resources. According to the World Health Organization (WHO), disorders of the cardiovascular system still rank high, causing about 31% of deaths globally. This is because the symptoms of cardiovascular disease cannot be seen directly, but rather by conducting an electrocardiograph (ECG) examination. The purpose of this research is to develop and analysis the ECG signal by comparing the 2nd order AD8232 module analogue filter with the 8th order Butterworth digital filter by applying infinite impulse response. This research uses a multiplexer circuit for switching leads, AD8232 ECG module, 50Hz notch filter circuit, non-inverting amplifier, adder, Arduino Mega 2560, USB module, and an application to display digital signals, namely Delphi 7. Signal acquisition is done by monitoring for one minute. Data collection was carried out with 5 respondents 5 times on each lead. The results of the data collection can be concluded that 80% of digital filters display smoother signals for ECG signals than analogue filters.

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