Adaptive thresholding based low complexity QRS detection algorithm

Year 2023, Volume: 25 Issue: 1, 78 - 89, 16.01.2023

Ertuğrul Karakulak

https://doi.org/10.25092/baunfbed.1075661

Abstract

In this study, a QRS detection algorithm with a low processing load based on time-domain thresholding is proposed. The ECG signal is filtered only with a low pass filter to reduce the computational load. After the filtering, derivation and squaring are also performed. In the Thresholding stage, a linear decreasing threshold voltage method using addition operation instead of multiplication is proposed. Simulations on MIT-BIT Arrhythmia Database have yielded 99.2925% sensitivity (% Se) and 99.6759% positive predictivity (+ P). The proposed algorithm is compared with two similar algorithms in terms of both performance and processing load. It is shown that the proposed algorithm is better than its counterparts, especially in terms of processing load. However, it is observed that it gave worse results in terms of Sensitivity (% Se).

Keywords

Ecg signal, qrs detection, time domain thresholding, computational load.

Adaptif eşik temelli az karmaşık QRS algılama algoritması

Abstract

Bu çalışmada düşük işlem yoğunluğa sahip, zaman domeninde, adaptif eşik gerilimi tabanlı bir QRS algılama algoritması önerilmiştir. İşlem yükünü azaltmak için EKG işareti sadece alçak geçiren bir filtre ile filtrelenmiştir. Filtrelemenin ardından türev ve kare alma işlemleri sırasıyla yapılmıştır. Adaptif Eşik geriliminin hesaplanmasında çarpma işlem sayısını azaltmak için doğrusal azalan bir eşik gerilimi yöntemi kullanılmış ve önerilmiştir. MIT-BIT Arrhythmia veri tabanından alınan işaretler kullanılarak yapılan simülasyon sonuçlarına göre Sensitivity (% Se) %99.2925 ve Positive Predictivity (+ P) %99.6759 olarak tespit edilmiştir. Önerilen algoritma hem işlem yükü hem de performans açısından benzer iki algoritma ile karşılaştırılmıştır. Önerilen algoritmanın özellikle işlem yükü bakımında benzerlerinden üstün olduğu ancak Sensitivity (% Se) açısından daha kötü sonuçlar verdiği görülmüştür

Keywords

Ekg sinyali, qrs algılama, zaman domeninde eşikleme, işlemsel yük.

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