Matches in SemOpenAlex for { <https://semopenalex.org/work/W2766707595> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2766707595 abstract "This paper introduces a complete heartbeat classification system based on modified stacked denoising autoencoders and neural networks. This system includes three parts and they are preprocessing, feature extraction, and classification. In the preprocessing part, the original ECG signal is filtered and segmented as each single heartbeat. In the feature extraction part, the features are extracted from the original heartbeat signal by using modified stacked denoising autoencoders. In the classification part, the neural networks are selected to classify the heartbeats, and achieves the accuracy of 97.99% on 16 classes of arrhythmic events. The proposed method not only achieves the high accuracy on heartbeats classification, but also gets rid of the works on feature designing compared with other similar methods." @default.
- W2766707595 created "2017-11-10" @default.
- W2766707595 creator A5021531143 @default.
- W2766707595 creator A5051564942 @default.
- W2766707595 creator A5064563692 @default.
- W2766707595 date "2017-07-01" @default.
- W2766707595 modified "2023-10-15" @default.
- W2766707595 title "Heartbeat classification system based on modified stacked denoising autoencoders and neural networks" @default.
- W2766707595 cites W1579760457 @default.
- W2766707595 cites W2005679428 @default.
- W2766707595 cites W2009977195 @default.
- W2766707595 cites W2025492635 @default.
- W2766707595 cites W2025768430 @default.
- W2766707595 cites W2038920371 @default.
- W2766707595 cites W2052396587 @default.
- W2766707595 cites W2095409369 @default.
- W2766707595 cites W2162273778 @default.
- W2766707595 cites W2167673381 @default.
- W2766707595 cites W2289846183 @default.
- W2766707595 cites W2291961022 @default.
- W2766707595 cites W2295528320 @default.
- W2766707595 cites W2507148354 @default.
- W2766707595 cites W2568858846 @default.
- W2766707595 cites W2581106238 @default.
- W2766707595 doi "https://doi.org/10.1109/icinfa.2017.8078961" @default.
- W2766707595 hasPublicationYear "2017" @default.
- W2766707595 type Work @default.
- W2766707595 sameAs 2766707595 @default.
- W2766707595 citedByCount "3" @default.
- W2766707595 countsByYear W27667075952019 @default.
- W2766707595 countsByYear W27667075952020 @default.
- W2766707595 crossrefType "proceedings-article" @default.
- W2766707595 hasAuthorship W2766707595A5021531143 @default.
- W2766707595 hasAuthorship W2766707595A5051564942 @default.
- W2766707595 hasAuthorship W2766707595A5064563692 @default.
- W2766707595 hasConcept C115961682 @default.
- W2766707595 hasConcept C13852961 @default.
- W2766707595 hasConcept C138885662 @default.
- W2766707595 hasConcept C153180895 @default.
- W2766707595 hasConcept C154945302 @default.
- W2766707595 hasConcept C163294075 @default.
- W2766707595 hasConcept C199360897 @default.
- W2766707595 hasConcept C2776401178 @default.
- W2766707595 hasConcept C2779843651 @default.
- W2766707595 hasConcept C34736171 @default.
- W2766707595 hasConcept C38652104 @default.
- W2766707595 hasConcept C41008148 @default.
- W2766707595 hasConcept C41895202 @default.
- W2766707595 hasConcept C50644808 @default.
- W2766707595 hasConcept C52622490 @default.
- W2766707595 hasConcept C99498987 @default.
- W2766707595 hasConceptScore W2766707595C115961682 @default.
- W2766707595 hasConceptScore W2766707595C13852961 @default.
- W2766707595 hasConceptScore W2766707595C138885662 @default.
- W2766707595 hasConceptScore W2766707595C153180895 @default.
- W2766707595 hasConceptScore W2766707595C154945302 @default.
- W2766707595 hasConceptScore W2766707595C163294075 @default.
- W2766707595 hasConceptScore W2766707595C199360897 @default.
- W2766707595 hasConceptScore W2766707595C2776401178 @default.
- W2766707595 hasConceptScore W2766707595C2779843651 @default.
- W2766707595 hasConceptScore W2766707595C34736171 @default.
- W2766707595 hasConceptScore W2766707595C38652104 @default.
- W2766707595 hasConceptScore W2766707595C41008148 @default.
- W2766707595 hasConceptScore W2766707595C41895202 @default.
- W2766707595 hasConceptScore W2766707595C50644808 @default.
- W2766707595 hasConceptScore W2766707595C52622490 @default.
- W2766707595 hasConceptScore W2766707595C99498987 @default.
- W2766707595 hasLocation W27667075951 @default.
- W2766707595 hasOpenAccess W2766707595 @default.
- W2766707595 hasPrimaryLocation W27667075951 @default.
- W2766707595 hasRelatedWork W143450031 @default.
- W2766707595 hasRelatedWork W1596410209 @default.
- W2766707595 hasRelatedWork W2059402998 @default.
- W2766707595 hasRelatedWork W2130198519 @default.
- W2766707595 hasRelatedWork W2132777877 @default.
- W2766707595 hasRelatedWork W2604926040 @default.
- W2766707595 hasRelatedWork W2610751394 @default.
- W2766707595 hasRelatedWork W2702116941 @default.
- W2766707595 hasRelatedWork W2771148491 @default.
- W2766707595 hasRelatedWork W2775229114 @default.
- W2766707595 hasRelatedWork W2924659638 @default.
- W2766707595 hasRelatedWork W2952715276 @default.
- W2766707595 hasRelatedWork W2953704539 @default.
- W2766707595 hasRelatedWork W2976309243 @default.
- W2766707595 hasRelatedWork W2978776404 @default.
- W2766707595 hasRelatedWork W3000662942 @default.
- W2766707595 hasRelatedWork W3120143329 @default.
- W2766707595 hasRelatedWork W3136746039 @default.
- W2766707595 hasRelatedWork W3201740667 @default.
- W2766707595 hasRelatedWork W2994581551 @default.
- W2766707595 isParatext "false" @default.
- W2766707595 isRetracted "false" @default.
- W2766707595 magId "2766707595" @default.
- W2766707595 workType "article" @default.