Children Heart Sound - Normal & Abnormal
Paper Title: A Wireless Electronic Stethoscope to Classify Children Heart Sound Abnormalities: DOI: 10.1109/ICCIT48885.2019.9038406 Children's Heart Sound Data: Normal-30 & Abnormal-30 Abstract: In this research paper, a wireless stethoscope has been introduced that can communicate with a smartphone to receive children’s heart sound. Along with an automated method that recognizes children's heart sound abnormalities. That isolation of heart sounds is based on time-frequency characteristics. Where it is preceded using Mel-frequency Cepstral Coefficients (MFCCs) signal processing method. The processed sounds are extracted using five feature extraction algorithms. Then it is classified using four support vector machines (SVM) kernel. Total 60 heart sounds were collected, where 30 sounds having abnormalities and rest 30 sounds containing normal heart sound. Though massive measures of action have already been taken in this area, still the necessity of more bearable cost devices and accurate methods is present. Here, the submitted apparatus cost is approximately 18 USD, which is the cheapest than most other devices used in previous work. Simultaneously it is lightweight and bearable to use in rural and underprivileged areas. With RBF kernel of SVM, the proposed method shows 94.12% accuracy which is the highest.
Steps to reproduce
Normal 30 Abnormal 30 Total 60