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Dian Khairani Putri
Department of Physics, Universitas Riau, Pekanbaru 28293, Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Electrocardiogram signal analysis using fast Fourier transform method for heart rate diagnosis Dian Khairani Putri; Defrianto Defrianto; Zulkarnain Zulkarnain; Rakhmawati Farma
Science, Technology, and Communication Journal Vol. 7 No. 1 (2026): SINTECHCOM Journal (October 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v7i1.319

Abstract

This study aims to analyze electrocardiogram (ECG) signals using the fast Fourier transform (FFT) method to support heart rate diagnosis. The data used consists of nine recordings of patient ECG signals obtained in graphic form, then converted into numerical data using PlotDigitizer software. Furthermore, the data was analyzed in the frequency domain using the FFT algorithm formulated through MATLAB software. The transformation results showed that the dominant frequency of each ECG signal ranged from 1.0332 Hz to 1.6172 Hz. A comparison between the FFT results and normal ECG signals was conducted to evaluate the suitability of the waveform and rhythm. Quantitative evaluation was conducted using the mean squared error (MSE) method to measure the level of difference between signals. The results confirm that the frequency-based method significantly contributes to more accurate measurements and greater efficiency in heart rate diagnostics. This method also supports the advancement of sophisticated techniques in biomedical signal processing.
Co-Authors Defrianto Defrianto Rakhmawati Farma Zulkarnain Zulkarnain