About: Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #91414 Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
sameAs	Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
Title	Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2020-08-27
Creator	Truc Nguyen Huy Phan I. McLoughlin Lam Dang Pham Palaniappan Ramaswamy
status	peer reviewed published
abstract	This paper presents a robust deep learning framework developed to detect respiratory diseases from recordings of respiratory sounds. The complete detection process firstly involves front end feature extraction where recordings are transformed into spectrograms that convey both spectral and temporal information. Then a back-end deep learning model classifies the features into classes of respiratory disease or anomaly. Experiments, conducted over the ICBHI benchmark dataset of respiratory sounds, evaluate the ability of the framework to classify sounds. Two main contributions are made in this paper. Firstly, we provide an extensive analysis of how factors such as respiratory cycle length, time resolution, and network architecture, affect final prediction accuracy. Secondly, a novel deep learning based framework is proposed for detection of respiratory diseases and shown to perform extremely well compared to state of the art methods.
Is Part Of	https://kar.kent.ac.uk/id/repository
Subject	R858 Computer applications to medicine. Medical informatics. Medical information technology
list of authors	https://kar.kent.ac.uk/id/eprint/91414#authors
presented at	2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #91414 Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases

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