Title :
R-peak detection using a complex fractional wavelet
Author :
Abdelliche, F. ; Charef, A.
Author_Institution :
Dept. d´´Electrotech., Univ. 20 Aout 1955, Skikda, Algeria
Abstract :
In a recent paper we have introduced and used a real fractional wavelet for the detection of the QRS complex in ECG signal. This fractional wavelet is the second derivative of the Cole-Cole distribution which is widely used in the modelling of dielectrics by a fractional power pole. This work presents a QRS detection scheme using a complex fractional wavelet function. The absolute value of this wavelet is the Cole-Cole distribution function. The method consists of using the real and the imaginary parts of the CWT along with the multiscale product to distinguish the R waves from the high P and T waves, the noise and the artefacts. The study of the proposed algorithm and the analysis of the results have been done using the first four-minutes of the 24 records of the MIT-BIH arrhythmia database. The R wave detection results have been compared to the annotation file accompanying each ECG signal. We have found that the proposed detection algorithm gives high accuracy.
Keywords :
electrocardiography; medical signal detection; medical signal processing; wavelet transforms; Cole-Cole distribution function; ECG signal; MIT-BIH arrhythmia database; P waves; QRS detection; R wave detection; R-peak detection; T waves; absolute value; complex fractional wavelet function; continuous wavelet transform; Algorithm design and analysis; Continuous wavelet transforms; Databases; Detection algorithms; Discrete wavelet transforms; Distribution functions; Electrocardiography; Signal analysis; Signal processing algorithms; Wavelet transforms;
Conference_Titel :
Electrical and Electronics Engineering, 2009. ELECO 2009. International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-1-4244-5106-7
Electronic_ISBN :
978-9944-89-818-8