Title of article :
Detection of Cardiac Hypertrophy by RVM and SVM Algorithms
Author/Authors :
Morsali, Fereshte Department of Electrical Engineering - Ahar Branch Islamic Azad University, Ahar, Iran , Yousefi Rezaii, Tohid Department of Biomedical Engineering - University of Tabriz, Tabriz, Iran
Pages :
7
From page :
31
To page :
37
Abstract :
The meaning of the term ‘hypertrophy’ is the increasing size. Heart hypertrophy is a symptom of increase in the thickness of the heart muscle and the left ventricular hypertrophy is the most common type. The causes of hypertrophy heart disease are high blood pressure, aortic valve stenosis and sport activities, respectively. The assessment of this amount by using ECG signal analysis is essential because the risk of heart disease. Ventricular hypertrophy increases the timely diagnosis. The ECG signal demonstrates heart electric activities and includes some characteristic points such as P wave, QRS complex, and the T wave is formed. In this study an algorithm has been presented for the assessment of diagnosis of ventricular hypertrophy. In The presented algorithm, first picks of ECG signal have been assessed and then a high degree of statistical information such as skewness, kurtosis, R peak height, and cumulants has also been used.
Keywords :
Left Ventricular Hypertrophy , Higher Order Statistics , Skewness , Kurtosis , Cumulants , Support Vector Machines , Relevance Vector Machine
Serial Year :
2016
Record number :
2496582
Link To Document :
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