A Survey on Classifiers Used inHeart Valve Disease Detection

[摘要] In this survey paper, Heart sound has a greater requirement for the detection of heart disease. Now a day, recently extensive research has been applied for different feature selection and classification technique. According to this survey paper we deal with the most important feature for the detection of heart disease that is feature evaluation or ranking and feature selection. They are the most important features to the classification problem .In this we study, a lot of possible combinations between each feature search and each feature evaluation algorithms. At classification section we compare four techniques which give 90% & above accuracy as classifier for heart valve disease detection, initially surveys the research that has been conducted concerning the exploitation of heart sound signals for detection of heart conditions. Then, a comparative study is applied to determine the most effective techniques that are capable for the detection of heart valve disease with a high accuracy.

[关键词] ECG-Electrocardiogram;PCG-Phonocardiogram;AS- Aortic Stenosis;AR- Aortic Regurgitation;MSMitral Stenosis;MR- Mitral Regurgitation;ANFIS- Adaptive neuro-fuzzy inference system