A NEW ROBUST QRS DETECTION ALGORITHM IN ARRHYTHMIC ECG SIGNALS

Yıl 2018, Cilt: 6 Sayı: 1, 64 - 73, 26.03.2018

Süleyman Bılgın , Zahide Elif Akın

https://doi.org/10.21923/jesd.391625

Cited By: 3

Öz

The QRS detection in electrocardiogram (ECG) signals
provides significant information to help automatic diagnosis of some
cardiovascular disorders. There are many studies about QRS detection in the
literature. All these studies have focused on the development of QRS detection including
noise, baseline wander, artifacts, small and wide QRS complexes. However, some
QRS complexes cannot be detected due to their morphological and arrhythmic
disorders. These types of beats are misevaluated during observation. Therefore,
increasing the success and accuracy of such algorithms is of great importance
for the development of wearable cardiac diagnostic devices. Arrhythmic ECG
signals include different morphologic features, such as sudden, narrow, small,
and negative QRS complexes, which are very difficult to automatically detect. In
this study, we propose a new algorithm with higher accuracy than other studies
in the literature for the detection these types of QRS complexes. The proposed
method based on digital filtering and Discrete Wavelet Transform (DWT) is
evaluated and tested using the two-channel ECG records obtained from 48
patients in the MIT/BIH arrhythmia database. The overall performance results of
this algorithm are calculated as 99.79% of the sensitivity, 99.95% of the
predictivity rate, the detection error rate of 0.26 and 99.74% of accuracy score.

Anahtar Kelimeler

Electrocardiogram, QRS Detection, Discrete Wavelet Transform, Digital Filters

ARİTMİK EKG SİNYALLERİNDE DAYANIKLI YENİ BİR QRS YAKALAMA ALGORİTMASI

Öz

Elektrokardiyogram (EKG) sinyallerindeki QRS algılama,
bazı kardiyovasküler bozuklukların otomatik teşhisine yardımcı olmak için
önemli bilgiler sağlamaktadır. Literatürde QRS tespiti ile ilgili birçok
çalışma bulunmaktadır. Tüm bu çalışmalar, elektriksel gürültü, taban hattı
kayması, kas gürültüleri, küçük ve geniş QRS kompleksleri dahil olmak üzere QRS
algılamanın geliştirilmesine odaklanmıştır. Bununla birlikte, bazı QRS
kompleksleri morfolojik ve aritmik bozuklukları nedeniyle tespit edilemez. Bu
vuruş türleri gözlem sırasında yanlış değerlendirilir. Bu nedenle, bu tür
algoritmaların başarısını ve doğruluğunu arttırmak, giyilebilir kalp tanı
cihazlarının geliştirilmesi için büyük önem taşımaktadır. Aritmik EKG
sinyalleri, otomatik olarak algılanması çok zor olan ani, dar, küçük ve negatif
QRS kompleksleri gibi farklı morfolojik özellikleri içerir. Bu çalışmada, bu
tür QRS komplekslerinin saptanması için literatürdeki diğer çalışmalardan daha
yüksek doğrulukta yeni bir algoritma önermekteyiz. Dijital filtrelemeye ve
Ayrık Dalgacık Dönüşümüne (ADD) dayanan bu yöntem MIT / BIH aritmi veri
tabanındaki 48 hastadan elde edilen iki kanallı EKG kayıtlarını kullanarak
değerlendirildi ve test edildi. Bu algoritmanın genel performans sonuçlarında,
duyarlılık %99,79, öngörme oranı %99,95, algılama hata oranı 0,26 ve doğruluk
skoru %99,74 olarak hesaplanmaktadır.

Anahtar Kelimeler

Elektrokardiyogram, QRS Yakalama, Ayrık Dalgacık Dönüşümü, Sayısal Süzgeçler

Kaynakça

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