Title :
Identification of fundamental heart sounds from PCG using blanket fractal dimension
Author :
Paskas, Milorad P. ; Gavrovska, Ana M. ; Reljin, Natasa B.
Author_Institution :
Innovation Center of Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
Abstract :
Paper introduces a new approach for S1 versus S2 heart sound classification. The blanket fractal dimension is used for the first time for recognizing a heart sound candidate as S1 or S2 without the use of synchronous electrocardiogram. Even though the systole and diastole duration is not calculated for further improvement of the results, the obtained accuracy is more than 80% without any prior knowledge of patients´ health issues.
Keywords :
fractals; image classification; medical image processing; phonocardiography; ultrasonic imaging; PCG; S1 heart sound classification; S2 heart sound classification; blanket fractal dimension; fundamental heart sound identification; heart sound recognition; patient health issues; Accuracy; Electrocardiography; Fractals; Heart; Phonocardiography; Support vector machines; Testing;
Conference_Titel :
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location :
Trento
DOI :
10.1109/ESGCO.2014.6847550
