Search Results for author: Houman Ghaemmaghami

Found 4 papers, 0 papers with code

Domain Generalization in Biosignal Classification

no code implementations12 Nov 2020 Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes

Conclusion: Recognizing the complexity induced by the inherent temporal nature of biosignal data, the two-stage method proposed in this study is able to effectively simplify the whole process of domain generalization while demonstrating good results on unseen domains and the adopted basis domains.

Classification Domain Generalization +1

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation

no code implementations21 May 2020 Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes

In this study, we explicitly examine the importance of heart sound segmentation as a prior step for heart sound classification, and then seek to apply the obtained insights to propose a robust classifier for abnormal heart sound detection.

Anomaly Detection Classification +2

Heart Sound Segmentation using Bidirectional LSTMs with Attention

no code implementations2 Apr 2020 Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes

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 the salient information that it provides for the detection of the heart state.

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