Detection of QRS complexes in the ECG signal using multiresolution wavelet and thresholding method

The electrocardiogram (ECG) is a diagnostic tool that measures and records the electrical activity of the heart in exquisite detail. Interpretation of these details allows diagnosis of a wide range of heart conditions. Automatic extraction of time plane features is important for cardiac disease diagnosis. This paper presents a multi-resolution wavelet transform based system for detection and evaluation of QRS complex. In first step of this paper we use the selective confident method to find the QRS complex, at next step we use a threshold method to find the QRS complex and finally we apply the composition of first step algorithm and thresholding method which shows robust ability of finding QRS compared to other methods. Achieved overall accuracy of QRS detection for only d
₄
scale without threshold is 84.48%, the composition of d
₃
, d
₄
, d
₅
without threshold 93.23%, only d
₄
with threshold 90%, and d
₃
, d
₄
, d
₅
with threshold 98.2%.