Matches in SemOpenAlex for { <https://semopenalex.org/work/W2755812718> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2755812718 abstract "ECG annotation has been studied for decades for the development of signal processing techniques and artificial intelligence methods. In this chapter, the general technique roadmaps of ECG beat annotation (classification) are reviewed. The deep neuro network methods are introduced after the mention of supervised and unsupervised learning methods as well as the deep belief networks. A preliminary study on deep learning application in ECG classification is proposed in this chapter, which leads to better results and has a high potential both for performance improvement and unsupervised learning applications." @default.
- W2755812718 created "2017-09-25" @default.
- W2755812718 creator A5023273288 @default.
- W2755812718 creator A5048411184 @default.
- W2755812718 creator A5073216396 @default.
- W2755812718 date "2017-01-01" @default.
- W2755812718 modified "2023-09-26" @default.
- W2755812718 title "ECG Annotation and Diagnosis Classification Techniques" @default.
- W2755812718 cites W114517082 @default.
- W2755812718 cites W1587659972 @default.
- W2755812718 cites W1978690664 @default.
- W2755812718 cites W1982522576 @default.
- W2755812718 cites W1983599491 @default.
- W2755812718 cites W1988183757 @default.
- W2755812718 cites W1999577724 @default.
- W2755812718 cites W2004147962 @default.
- W2755812718 cites W2015242484 @default.
- W2755812718 cites W2017487767 @default.
- W2755812718 cites W2029503776 @default.
- W2755812718 cites W2034907671 @default.
- W2755812718 cites W2061376619 @default.
- W2755812718 cites W2076063813 @default.
- W2755812718 cites W2082388636 @default.
- W2755812718 cites W2082589768 @default.
- W2755812718 cites W2091076299 @default.
- W2755812718 cites W2100495367 @default.
- W2755812718 cites W2101166342 @default.
- W2755812718 cites W2103308415 @default.
- W2755812718 cites W2116064496 @default.
- W2755812718 cites W2117130368 @default.
- W2755812718 cites W2117624000 @default.
- W2755812718 cites W2125654608 @default.
- W2755812718 cites W2130769894 @default.
- W2755812718 cites W2132777877 @default.
- W2755812718 cites W2133876672 @default.
- W2755812718 cites W2145044818 @default.
- W2755812718 cites W2154483232 @default.
- W2755812718 cites W2162775914 @default.
- W2755812718 cites W2162800060 @default.
- W2755812718 cites W2165273548 @default.
- W2755812718 cites W2167274237 @default.
- W2755812718 cites W2171975443 @default.
- W2755812718 cites W2202505358 @default.
- W2755812718 cites W4231109964 @default.
- W2755812718 doi "https://doi.org/10.1007/978-3-319-44981-4_9" @default.
- W2755812718 hasPublicationYear "2017" @default.
- W2755812718 type Work @default.
- W2755812718 sameAs 2755812718 @default.
- W2755812718 citedByCount "0" @default.
- W2755812718 crossrefType "book-chapter" @default.
- W2755812718 hasAuthorship W2755812718A5023273288 @default.
- W2755812718 hasAuthorship W2755812718A5048411184 @default.
- W2755812718 hasAuthorship W2755812718A5073216396 @default.
- W2755812718 hasConcept C108583219 @default.
- W2755812718 hasConcept C119857082 @default.
- W2755812718 hasConcept C136389625 @default.
- W2755812718 hasConcept C153180895 @default.
- W2755812718 hasConcept C154945302 @default.
- W2755812718 hasConcept C2776321320 @default.
- W2755812718 hasConcept C41008148 @default.
- W2755812718 hasConcept C50644808 @default.
- W2755812718 hasConcept C8038995 @default.
- W2755812718 hasConcept C97385483 @default.
- W2755812718 hasConceptScore W2755812718C108583219 @default.
- W2755812718 hasConceptScore W2755812718C119857082 @default.
- W2755812718 hasConceptScore W2755812718C136389625 @default.
- W2755812718 hasConceptScore W2755812718C153180895 @default.
- W2755812718 hasConceptScore W2755812718C154945302 @default.
- W2755812718 hasConceptScore W2755812718C2776321320 @default.
- W2755812718 hasConceptScore W2755812718C41008148 @default.
- W2755812718 hasConceptScore W2755812718C50644808 @default.
- W2755812718 hasConceptScore W2755812718C8038995 @default.
- W2755812718 hasConceptScore W2755812718C97385483 @default.
- W2755812718 hasLocation W27558127181 @default.
- W2755812718 hasOpenAccess W2755812718 @default.
- W2755812718 hasPrimaryLocation W27558127181 @default.
- W2755812718 hasRelatedWork W1499875050 @default.
- W2755812718 hasRelatedWork W2384843156 @default.
- W2755812718 hasRelatedWork W2391732244 @default.
- W2755812718 hasRelatedWork W2396559499 @default.
- W2755812718 hasRelatedWork W2418507535 @default.
- W2755812718 hasRelatedWork W2589917233 @default.
- W2755812718 hasRelatedWork W2753683282 @default.
- W2755812718 hasRelatedWork W2795688948 @default.
- W2755812718 hasRelatedWork W3021667312 @default.
- W2755812718 hasRelatedWork W3046189308 @default.
- W2755812718 hasRelatedWork W3126649223 @default.
- W2755812718 hasRelatedWork W3133509962 @default.
- W2755812718 hasRelatedWork W3164374870 @default.
- W2755812718 hasRelatedWork W3189142995 @default.
- W2755812718 hasRelatedWork W3191688532 @default.
- W2755812718 hasRelatedWork W3205360679 @default.
- W2755812718 hasRelatedWork W3211201659 @default.
- W2755812718 hasRelatedWork W608544806 @default.
- W2755812718 hasRelatedWork W767037412 @default.
- W2755812718 hasRelatedWork W3126753661 @default.
- W2755812718 isParatext "false" @default.
- W2755812718 isRetracted "false" @default.
- W2755812718 magId "2755812718" @default.
- W2755812718 workType "book-chapter" @default.