Robust Deep Learning Framework for Predicting Respiratory Anomalies and Diseases

Lam Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
Titel42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
UntertitelEnabling Innovative Technologies for Global Healthcare, EMBC 2020
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten164-167
Seitenumfang4
ISBN (elektronisch)9781728119908
DOIs
PublikationsstatusVeröffentlicht - Jul 2020
Veranstaltung42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: EMBC 2020 - Virtuell, Montreal, Kanada
Dauer: 20 Jul 202024 Jul 2020

Publikationsreihe

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Band2020-July
ISSN (Print)1557-170X

Konferenz

Konferenz42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
KurztitelEMBC 2020
Land/GebietKanada
OrtVirtuell, Montreal
Zeitraum20/07/2024/07/20

ASJC Scopus subject areas

  • Signalverarbeitung
  • Biomedizintechnik
  • Maschinelles Sehen und Mustererkennung
  • Gesundheitsinformatik

Fingerprint

Untersuchen Sie die Forschungsthemen von „Robust Deep Learning Framework for Predicting Respiratory Anomalies and Diseases“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren