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Journals / Politeknik Dergisi / 2026 / Cilt: 21 Sayı: 1

IIR Based Digital Filter Design for Denoising the ECG Signal

EKG İşaretindeki Gürültülerin Temizlenmesi için IIR Tabanlı Sayısal Filtre Tasarımı

Önder Yakut(KOCAELİ ÜNİVERSİTESİ)
Serdar Solak(KOCAELİ ÜNİVERSİTESİ)
Emine Doğru Bolat
Pages
173–181
Publication Date
2018-03-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The statistical parameters used for the performance analysis are Mean Square Error (MSE), Signal to Noise Ratio (SNR), Peak to Signal Noise Ratio (PSNR). 

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, several IIR based filters are used for eliminating various noises from the Electrocardiogram (ECG) signal and the performance analysis of these filters are compared with each other.
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Key Findings & Data:It is aimed to remove the noises from the ECG signal employing the IIR based Butterworth, Chebyshev Type 1, Chebyshev Type 2 and Elliptic digital filters.
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Conclusion & Impact:The statistical parameters used for the performance analysis are Mean Square Error (MSE), Signal to Noise Ratio (SNR), Peak to Signal Noise Ratio (PSNR). 
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Elektrokardiyogram(EKG) · EKG gürültü arındırma · IIR tabanlı sayısal filtre

Abstract

In this study, several IIR based filters are used for eliminating various noises from the Electrocardiogram (ECG) signal and the performance analysis of these filters are compared with each other. ECG is a signal resulted from the heart’s functions. The ECG signal having electrophysiological information is used for the diagnosis of the heart diseases or monitoring the condition of the heart. The ECG data utilized in this study is taken from the MIT-BIH arrhythmia database recordings. It is aimed to remove the noises from the ECG signal employing the IIR based Butterworth, Chebyshev Type 1, Chebyshev Type 2 and Elliptic digital filters. The filters are configured depending on the noise types and the performance analysis of the filters is realized. A system is proposed selecting the filters having high performances and using them in the pre-processing stage of the R and QRS detection algorithm. And it is observed that the proposed system provides a satisfactory performance. The statistical parameters used for the performance analysis are Mean Square Error (MSE), Signal to Noise Ratio (SNR), Peak to Signal Noise Ratio (PSNR). 

Özet

Bu çalışmada, EKG (Electrocardiogram) işaretindeki çeşitli gürültüleri ortadan kaldırmak amacıyla IIR (Infinite Impulse Response) tabanlı farklı sayısal filtreler kullanılmış ve bu filtrelerin başarım analizleri karşılaştırılmıştır. EKG işareti kalbin işlevlerini yerine getirmesi sonucunda oluşan bir sinyaldir. Elektrofizyolojik bilgi taşıyan bu işaret, kalbe ait hastalıkların teşhis edilmesi ya da kalbin durumunun izlenmesi amacıyla kullanılmaktadır. Çalışmada kullanılan EKG işaretleri MIT-BIH aritmi veri tabanı kayıtlarından alınmıştır. Yapılan çalışma sonucunda, IIR tabanlı Butterworth, Chebyshev Tür 1, Chebyshev Tür 2 ve Elliptic sayısal filtreleri kullanılarak EKG işaretindeki gürültüleri gidermek amaçlanmıştır. Gürültü çeşitlerine göre filtreler yapılandırılarak başarım analizleri yapılmıştır. Başarımları yüksek olan filtreler seçilmiş EKG işaretindeki R tepesi ve QRS algılayıcı algoritmalarının ön işleme sürecinde kullanılabilecek bir sistem önerilmiştir. Önerilen sistemin tatmin edici nitelikte bir başarım sağladığı görülmüştür. Başarım analizinde istatistiksel parametreler olarak, Ortalama Karesel Hata (Mean Square Error, MSE), İşaret Gürültü Oranı (Signal to Noise Ratio, SNR) ve Tepe Sinyal Gürültü Oranı (Peak to Signal Noise Ratio, PSNR) ölçütleri kullanılmıştır.

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Cite This Article

Yakut, Ö., Solak, S., Bolat, E. D. (2018). IIR Based Digital Filter Design for Denoising the ECG Signal. Politeknik Dergisi, Cilt: 21 Sayı: 1, 173–181. https://doi.org/10.2339/politeknik.386970

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