Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200615500> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3200615500 abstract "A new deep learning architecture, which is heart rate monitoring system using feature extraction in electrocardiogram signal by Convolutional Neural Network (CNN). Electrocardiogram based healthcare applications is presented in a federated context. The proposed system correctly diagnoses arrhythmias using an auto encoder and a classifier, both based on CNN. The module is provided to explain the classification findings in which the proposed classifier via employing an auto encoder and a classifier could check whether the rhythms of heart are normal, paced up or the heartbeat rate is irregular depending on the patient's situations. The module could offer the explanations of the classification findings in order to allow medical practitioners to quickly make the trustworthy judgments in preliminary diagnoses. Finally, the result shows that the proposed classifier could explain the classification for finding the two arrhythmias conditions which allow healthcare practitioners to rapidly make the correct conclusions." @default.
- W3200615500 created "2021-09-27" @default.
- W3200615500 creator A5011182684 @default.
- W3200615500 creator A5045543936 @default.
- W3200615500 date "2021-08-17" @default.
- W3200615500 modified "2023-09-23" @default.
- W3200615500 title "Heart Rate Monitoring System Using Feature Extraction in Electrocardiogram Signal by Convolutional Neural Network" @default.
- W3200615500 cites W2084553975 @default.
- W3200615500 cites W2095409369 @default.
- W3200615500 cites W2121239834 @default.
- W3200615500 cites W2294166385 @default.
- W3200615500 cites W2318059334 @default.
- W3200615500 cites W2509185673 @default.
- W3200615500 cites W2530417694 @default.
- W3200615500 cites W2610332124 @default.
- W3200615500 cites W2736613094 @default.
- W3200615500 cites W2753415590 @default.
- W3200615500 cites W2755364614 @default.
- W3200615500 cites W2761602021 @default.
- W3200615500 cites W2767066031 @default.
- W3200615500 cites W2955710688 @default.
- W3200615500 cites W2980490465 @default.
- W3200615500 cites W3005923751 @default.
- W3200615500 cites W3013966144 @default.
- W3200615500 cites W2811277026 @default.
- W3200615500 doi "https://doi.org/10.1109/icufn49451.2021.9528584" @default.
- W3200615500 hasPublicationYear "2021" @default.
- W3200615500 type Work @default.
- W3200615500 sameAs 3200615500 @default.
- W3200615500 citedByCount "0" @default.
- W3200615500 crossrefType "proceedings-article" @default.
- W3200615500 hasAuthorship W3200615500A5011182684 @default.
- W3200615500 hasAuthorship W3200615500A5045543936 @default.
- W3200615500 hasConcept C111919701 @default.
- W3200615500 hasConcept C118505674 @default.
- W3200615500 hasConcept C119857082 @default.
- W3200615500 hasConcept C13852961 @default.
- W3200615500 hasConcept C142724271 @default.
- W3200615500 hasConcept C153180895 @default.
- W3200615500 hasConcept C154945302 @default.
- W3200615500 hasConcept C38652104 @default.
- W3200615500 hasConcept C40969351 @default.
- W3200615500 hasConcept C41008148 @default.
- W3200615500 hasConcept C52622490 @default.
- W3200615500 hasConcept C534262118 @default.
- W3200615500 hasConcept C71924100 @default.
- W3200615500 hasConcept C81363708 @default.
- W3200615500 hasConcept C95623464 @default.
- W3200615500 hasConceptScore W3200615500C111919701 @default.
- W3200615500 hasConceptScore W3200615500C118505674 @default.
- W3200615500 hasConceptScore W3200615500C119857082 @default.
- W3200615500 hasConceptScore W3200615500C13852961 @default.
- W3200615500 hasConceptScore W3200615500C142724271 @default.
- W3200615500 hasConceptScore W3200615500C153180895 @default.
- W3200615500 hasConceptScore W3200615500C154945302 @default.
- W3200615500 hasConceptScore W3200615500C38652104 @default.
- W3200615500 hasConceptScore W3200615500C40969351 @default.
- W3200615500 hasConceptScore W3200615500C41008148 @default.
- W3200615500 hasConceptScore W3200615500C52622490 @default.
- W3200615500 hasConceptScore W3200615500C534262118 @default.
- W3200615500 hasConceptScore W3200615500C71924100 @default.
- W3200615500 hasConceptScore W3200615500C81363708 @default.
- W3200615500 hasConceptScore W3200615500C95623464 @default.
- W3200615500 hasFunder F4320322795 @default.
- W3200615500 hasLocation W32006155001 @default.
- W3200615500 hasOpenAccess W3200615500 @default.
- W3200615500 hasPrimaryLocation W32006155001 @default.
- W3200615500 hasRelatedWork W2059299633 @default.
- W3200615500 hasRelatedWork W2732542196 @default.
- W3200615500 hasRelatedWork W2936488316 @default.
- W3200615500 hasRelatedWork W2940977206 @default.
- W3200615500 hasRelatedWork W2964383635 @default.
- W3200615500 hasRelatedWork W2969680539 @default.
- W3200615500 hasRelatedWork W2977314777 @default.
- W3200615500 hasRelatedWork W2995914718 @default.
- W3200615500 hasRelatedWork W3156786002 @default.
- W3200615500 hasRelatedWork W564581980 @default.
- W3200615500 isParatext "false" @default.
- W3200615500 isRetracted "false" @default.
- W3200615500 magId "3200615500" @default.
- W3200615500 workType "article" @default.