CD Tesis

Analisis Sinyal Elektrokardiogram Menggunakan Metode Fast Fourier Transform Untuk Diagnosa Detak Jantung

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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. This evaluation resulted in varying MSE values, with the highest value in ECG 1 (7.7948) and the lowest in ECG 6 (3.8532). 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.
Keywords: Electrocardiogram (ECG), Fast Fourier Transform (FFT), MATLAB,
PlotDigitizer, heart rate diagnosis

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103112635

Penerbit

Pekanbaru. : Universitas Riau – PASCA– Magister Fisika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103112635

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Magister Fisika

Info Detail Spesifik

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Pernyataan Tanggungjawab

RIDHO

Versi lain/terkait

Lampiran Berkas

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