CD Skripsi

Penerapan Fast Fourier Transform Pada Sinyal Elektrokardiogram Untuk Meningkatkan Akurasi Pengukuran Detak Jantung

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Heart rate measurement using electrocardiogram (ECG) signals is generally still performed manually, which is less effective, especially when limited to close range. Therefore, a computational approach is needed to optimize measurement results. The Fast Fourier Transform (FFT) is applied to convert the EKG signal from the time domain to the frequency domain, enabling accurate identification of the dominant spectral components associated with heart activity. This transformation also allows for remote evaluation, which is often impractical to analyze using time- domain methods alone. A dataset consisting of ten EKG signal recordings from subjects with normal heart rates was used. Waveform images were digitized using PlotDigitizer software and further processed in MATLAB through FFT. The results of this study show that the main frequencies of each signal were successfully detected with high accuracy, with an average error percentage of less than 0.2% when compared to the reference value. These results demonstrate the effectiveness of the frequency-based analytical approach in improving measurement precision and enhancing efficiency in digital heart monitoring. This study contributes to the field of biomedical signal analysis, particularly in the application of frequency transformations for digital heart monitoring.

Keywords: Electrocardiogram, Fast Fourier Transform, Heartbeat, MATLAB

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103110716

Penerbit

Pekanbaru : Universitas Riau FMIPA Fisika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103110716

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

FISIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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