Enhancing Digital Filtering to Electrocardiogram Analysis: Butterworth Filter Application

  • Nindia Rena Saputri Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Sari Luthfiyah Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Dyah Titisari Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Bedjo Utomo Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Lusiana Lusiana Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Triwiyanto Triwiyanto Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Faheem Ahmad Reegu College of Computer Science and Information Technology, Jazan Unversity, Jizan, Saudi Arabia
  • Wahyu Caesarendra Faculty of Integrated Technologies, Universiti Brunei Darussalam, Brunei Darussalam.
Keywords: Electrocardiograph, Analog Filter, Digital Filter


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 record the electrical signals of the heart by comparing the 2nd order AD8232 module analogue filter with the 8th order Butterworth digital filter which is a better signal for easier reading. 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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How to Cite
N. R. Saputri, “Enhancing Digital Filtering to Electrocardiogram Analysis: Butterworth Filter Application”, j.electron.electromedical.eng.med.inform, vol. 4, no. 4, Oct. 2022.
Research Paper