A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1249 - 1253
• Main Authors: Banerjee, Rohan, Ghose, Avik
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2020
• Subjects: Convolutional Neural Network; Heart; Heart sounds; Phonocardiography; Semi-supervised learning; Spectrogram; Speech processing; Supervised learning; Training; Training data; Variational Autoencoder

Abnormal heart sounds may have diverse frequency characteristics depending upon underlying pathological conditions. Designing a binary classifier for predicting normal and abnormal heart sounds using supervised learning requires a lot of training data, covering different types of cardiac abnormaliti...