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All Journal International Journal of Electrical and Computer Engineering ELKHA : Jurnal Teknik Elektro Journal of Electronics, Electromedical Engineering, and Medical Informatics Indonesian Journal of Electrical Engineering and Computer Science Sewagati
Setiawan, Rachmad
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Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

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Enhanced embedded system for various synthetic electrocardiogram generation using McSharry’s dynamic equation Hikmah, Nada Fitrieyatul; Setiawan, Rachmad; Andanis, Nafila Cahya; Pranata, Aldo
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1620-1631

Abstract

n electrocardiogram (ECG) is a signal that describes the heart’s electrical activity. Signal processing techniques are necessary to extract meaningful information from ECG signals. Researchers often use large databases like the PhysioNet database to evaluate the performance of algorithms. However, these databases have limitations concerning the lack of temporal or morphological variations. This study addresses this limitation by introducing a synthetic ECG capable of producing both normal 12-lead ECG signals and abnormal ECG signals and implementing it into the microcontroller. The primary contribution involves developing a synthetic ECG model using McSharry's dynamic equation model and implementing it using Mikromedia 5 for STM32F4 Capacitive as a microcontroller. This model enables users to set the desired heart rate and accurately replicates ECG waveforms using parameters ????????, ????????, and ????????, each determines the peak’s magnitude, the peak’s time duration, and the angular velocity of the trajectory. The synthetic ECG was evaluated qualitatively and quantitatively, demonstrating waveform similarity to the ECG signals. This study implies that the synthetic ECG model serves as a valuable tool for researchers and practitioners in electrocardiography. It enables the generation of normal and abnormal ECG signals, aiding in algorithm development and potentially enhancing the understanding and diagnosis of heart conditions.
Co-Authors Ahmad Zaini Amalia, Rima Andanis, Nafila Cahya Arief Kurniawan As'ad, Kurnia Gunadi Boedinoegroho, Hanny Eko Mulyanto Yuniarno Fitrieyatul Hikmah, Nada Hikmah, Nada Fitrieyatul Muhtadin Nada Fitrieyatul Hikmah Nugroho, Dwi Oktavianto Wahyu Pramunanto, Eko PRANATA, ALDO Rameli, Moch Rayhan Akmal Fadlurahman Salsabila, Anadya Ghina Syakir, Mu’afa Ali Syulthoni, Zain Budi