Twelve Channel ECG Phantom Based on MEGA2560 and DAC-MCP4921

  • Fadilla Putri Devito Nur Azizah Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya
  • Bambang Guruh Irianto Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya
  • Endro Yulianto Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya

Abstract

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, one of which is to diagnose and treat diseases caused by the heart. Therefore, it is necessary to check the function of the ECG recorder tool, namely by carrying out the tool calibration procedure using Phantom ECG. The purpose of this research is to design a Phantom ECG for a 12 channel ECG device which includes lead I, lead II, lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 and completes it with a sensitivity selector. The contribution of this research is that the tool can be used as a calibration tool for the ECG Recorder and can be used as a learning medium in the world of health. In order to create a signal that matches the original, this tool uses a heart signal formation method using a DAC type MCP4921 with an ATMEGA2560 microcontroller and for display settings using a 2.4 inch TFT Nextion Display. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. In the measurement results, the error in measurements with sensitivity of 0.5 mV, 1.0 mV, and 2.0 mV using an ECG Recorder at BPM 30 is 0.00%, BPM 60 is 0.00%, BPM 120 is 0.00%, and BPM 180 is 0.56%. The results showed that the biggest error was found in BPM 180, which was 0.56%.

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Published
Oct 10, 2021
How to Cite
AZIZAH, Fadilla Putri Devito Nur; IRIANTO, Bambang Guruh; YULIANTO, Endro. Twelve Channel ECG Phantom Based on MEGA2560 and DAC-MCP4921. Jurnal Teknokes, [S.l.], v. 14, n. 2, p. 73-79, oct. 2021. ISSN 2407-8964. Available at: <https://teknokes.poltekkesdepkes-sby.ac.id/index.php/Teknokes/article/view/176>. Date accessed: 18 nov. 2024. doi: http://dx.doi.org/10.35882/teknokes.v14i2.5.
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Articles

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