87 citations · 87 across the 3 of their papers we have counts for
4 papers
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
Tharindu Fernando, Sridha Sridharan, Simon Denman +2
This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing recognition on each event. Exp…
Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3
Objective: When training machine learning models, we often assume that the training data and evaluation data are sampled from the same distribution. However, this assumption is vio…
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; a…
Heart Sound Segmentation using Bidirectional LSTMs with Attention
Tharindu Fernando, Houman Ghaemmaghami, Simon Denman +3
This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering t…