Classification System for Heart Sounds Based on Random Forests

In this study, a classification method is proposed to classify normal and abnormal heart sound signals using random forests algorithm. The proposed framework was applied to a database of 100 heart sound signals which collected from the web site, firstly all the signals were processed using the wavelet technique to eliminate the noise from the signal, features were extracted from the enhanced signals and the most significant features was selected using the RFs. Finally the random forests classifier was used to perform the classification process. The system achieved 93.24% accuracy in distinguishing between normal and abnormal heart sound signals.
Source: Journal of Clinical Engineering - Category: Medical Devices Tags: FEATURE ARTICLES Source Type: research