Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006115509> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3006115509 abstract "Nowadays, the respiratory disease has become one of the most dangerous diseases that threaten human health, especially in the developing countries. The early diagnosis of respiratory disease gives patients the opportunity to receive proper treatment in time, and hence artificial intelligent (AI) auscultation using electronic stethoscope may play a promising role here. The core idea of AI auscultation of respiratory disease is to detect or recognize two kinds of adventitious respiratory sounds related to respiratory diseases: wheeze and crackle. Constrained by the number of available data, in the traditional methods, subjectively defined features were extracted and used to detect these adventitious respiratory sounds. However, to make the detection results robust, the features had better to be learned automatically from the data, which can be realized by applying deep learning in a big data. In this paper, the convolutional neural network (CNN) is exploited to detect adventitious sounds. The data used in this study consists of two parts: the public database provided by the International Conference on Biomedical and Health Informatics (ICBHI) involving 126 subjects and our recorded pediatric auscultation data including 222 subjects. The detection performance of employed CNN is evaluated using ICBHI database, our pediatric auscultation database as well as the combination of them." @default.
- W3006115509 created "2020-02-24" @default.
- W3006115509 creator A5000136889 @default.
- W3006115509 creator A5020403359 @default.
- W3006115509 creator A5050830339 @default.
- W3006115509 creator A5089032744 @default.
- W3006115509 date "2019-11-01" @default.
- W3006115509 modified "2023-10-16" @default.
- W3006115509 title "Detection of Adventitious Respiratory Sounds based on Convolutional Neural Network" @default.
- W3006115509 cites W1168254338 @default.
- W3006115509 cites W1985184135 @default.
- W3006115509 cites W2047469300 @default.
- W3006115509 cites W2075615425 @default.
- W3006115509 cites W2094041993 @default.
- W3006115509 cites W2109155309 @default.
- W3006115509 cites W2127272101 @default.
- W3006115509 cites W2139060900 @default.
- W3006115509 cites W2364358233 @default.
- W3006115509 cites W2537763288 @default.
- W3006115509 cites W2549697535 @default.
- W3006115509 cites W2619772334 @default.
- W3006115509 cites W763899905 @default.
- W3006115509 cites W2772561196 @default.
- W3006115509 doi "https://doi.org/10.1109/iciibms46890.2019.8991459" @default.
- W3006115509 hasPublicationYear "2019" @default.
- W3006115509 type Work @default.
- W3006115509 sameAs 3006115509 @default.
- W3006115509 citedByCount "27" @default.
- W3006115509 countsByYear W30061155092020 @default.
- W3006115509 countsByYear W30061155092021 @default.
- W3006115509 countsByYear W30061155092022 @default.
- W3006115509 countsByYear W30061155092023 @default.
- W3006115509 crossrefType "proceedings-article" @default.
- W3006115509 hasAuthorship W3006115509A5000136889 @default.
- W3006115509 hasAuthorship W3006115509A5020403359 @default.
- W3006115509 hasAuthorship W3006115509A5050830339 @default.
- W3006115509 hasAuthorship W3006115509A5089032744 @default.
- W3006115509 hasConcept C108583219 @default.
- W3006115509 hasConcept C119857082 @default.
- W3006115509 hasConcept C126322002 @default.
- W3006115509 hasConcept C126838900 @default.
- W3006115509 hasConcept C153180895 @default.
- W3006115509 hasConcept C154945302 @default.
- W3006115509 hasConcept C2776042228 @default.
- W3006115509 hasConcept C2777324038 @default.
- W3006115509 hasConcept C2777402568 @default.
- W3006115509 hasConcept C2778338976 @default.
- W3006115509 hasConcept C2779055095 @default.
- W3006115509 hasConcept C28490314 @default.
- W3006115509 hasConcept C41008148 @default.
- W3006115509 hasConcept C50644808 @default.
- W3006115509 hasConcept C534529494 @default.
- W3006115509 hasConcept C71924100 @default.
- W3006115509 hasConcept C81363708 @default.
- W3006115509 hasConceptScore W3006115509C108583219 @default.
- W3006115509 hasConceptScore W3006115509C119857082 @default.
- W3006115509 hasConceptScore W3006115509C126322002 @default.
- W3006115509 hasConceptScore W3006115509C126838900 @default.
- W3006115509 hasConceptScore W3006115509C153180895 @default.
- W3006115509 hasConceptScore W3006115509C154945302 @default.
- W3006115509 hasConceptScore W3006115509C2776042228 @default.
- W3006115509 hasConceptScore W3006115509C2777324038 @default.
- W3006115509 hasConceptScore W3006115509C2777402568 @default.
- W3006115509 hasConceptScore W3006115509C2778338976 @default.
- W3006115509 hasConceptScore W3006115509C2779055095 @default.
- W3006115509 hasConceptScore W3006115509C28490314 @default.
- W3006115509 hasConceptScore W3006115509C41008148 @default.
- W3006115509 hasConceptScore W3006115509C50644808 @default.
- W3006115509 hasConceptScore W3006115509C534529494 @default.
- W3006115509 hasConceptScore W3006115509C71924100 @default.
- W3006115509 hasConceptScore W3006115509C81363708 @default.
- W3006115509 hasLocation W30061155091 @default.
- W3006115509 hasOpenAccess W3006115509 @default.
- W3006115509 hasPrimaryLocation W30061155091 @default.
- W3006115509 hasRelatedWork W1909711908 @default.
- W3006115509 hasRelatedWork W2054528568 @default.
- W3006115509 hasRelatedWork W2615070281 @default.
- W3006115509 hasRelatedWork W2731899572 @default.
- W3006115509 hasRelatedWork W2773120646 @default.
- W3006115509 hasRelatedWork W2797852240 @default.
- W3006115509 hasRelatedWork W2809969323 @default.
- W3006115509 hasRelatedWork W2920938200 @default.
- W3006115509 hasRelatedWork W3006115509 @default.
- W3006115509 hasRelatedWork W4200428594 @default.
- W3006115509 isParatext "false" @default.
- W3006115509 isRetracted "false" @default.
- W3006115509 magId "3006115509" @default.
- W3006115509 workType "article" @default.