Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376870897> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4376870897 abstract "This paper presents biomedical time series from Body Surface Potential Mapping (BSPM) recognition using various convolutional and recurrent neural network structures. The BSPM signal is in a form of time series form 102 channels located around the chest. The time series are then transformed to time windows to allow recognition of heart diseases. The several options of neural network structures were compared: one-dimensional convolutional neural network, Long-Short-Term Memory neural network, and Gated Recurrent Unit neural network. The article showcases different convolutional and recurrent neural network architectures for recognizing patterns in biomedical time series measured with Body Surface Potential Mapping. The study compared three types of neural network structures: Long-Short-Term Memory neural network, Gated Recurrent Unit neural network, and one-dimensional convolutional neural network. The main goal of paper is to find optimal machine learning solution for heart disease recognition on the basis of BSPM signal. The best results are obtained using model with GRU layer." @default.
- W4376870897 created "2023-05-18" @default.
- W4376870897 creator A5057790457 @default.
- W4376870897 creator A5066003040 @default.
- W4376870897 creator A5081663535 @default.
- W4376870897 creator A5084781852 @default.
- W4376870897 date "2023-05-03" @default.
- W4376870897 modified "2023-09-29" @default.
- W4376870897 title "Time Series Recognition with Convolutional and Recursive Neural Networks in BSPM" @default.
- W4376870897 cites W2064675550 @default.
- W4376870897 cites W2157331557 @default.
- W4376870897 cites W2189842215 @default.
- W4376870897 cites W2573554430 @default.
- W4376870897 cites W2969771517 @default.
- W4376870897 cites W2991226807 @default.
- W4376870897 cites W2995447984 @default.
- W4376870897 cites W3034033080 @default.
- W4376870897 cites W3034194810 @default.
- W4376870897 cites W3086434256 @default.
- W4376870897 cites W3089426333 @default.
- W4376870897 cites W3136651054 @default.
- W4376870897 doi "https://doi.org/10.1109/iiphdw54739.2023.10124427" @default.
- W4376870897 hasPublicationYear "2023" @default.
- W4376870897 type Work @default.
- W4376870897 citedByCount "0" @default.
- W4376870897 crossrefType "proceedings-article" @default.
- W4376870897 hasAuthorship W4376870897A5057790457 @default.
- W4376870897 hasAuthorship W4376870897A5066003040 @default.
- W4376870897 hasAuthorship W4376870897A5081663535 @default.
- W4376870897 hasAuthorship W4376870897A5084781852 @default.
- W4376870897 hasConcept C108583219 @default.
- W4376870897 hasConcept C143724316 @default.
- W4376870897 hasConcept C147168706 @default.
- W4376870897 hasConcept C151730666 @default.
- W4376870897 hasConcept C153180895 @default.
- W4376870897 hasConcept C154945302 @default.
- W4376870897 hasConcept C175202392 @default.
- W4376870897 hasConcept C41008148 @default.
- W4376870897 hasConcept C50644808 @default.
- W4376870897 hasConcept C81363708 @default.
- W4376870897 hasConcept C86803240 @default.
- W4376870897 hasConceptScore W4376870897C108583219 @default.
- W4376870897 hasConceptScore W4376870897C143724316 @default.
- W4376870897 hasConceptScore W4376870897C147168706 @default.
- W4376870897 hasConceptScore W4376870897C151730666 @default.
- W4376870897 hasConceptScore W4376870897C153180895 @default.
- W4376870897 hasConceptScore W4376870897C154945302 @default.
- W4376870897 hasConceptScore W4376870897C175202392 @default.
- W4376870897 hasConceptScore W4376870897C41008148 @default.
- W4376870897 hasConceptScore W4376870897C50644808 @default.
- W4376870897 hasConceptScore W4376870897C81363708 @default.
- W4376870897 hasConceptScore W4376870897C86803240 @default.
- W4376870897 hasLocation W43768708971 @default.
- W4376870897 hasOpenAccess W4376870897 @default.
- W4376870897 hasPrimaryLocation W43768708971 @default.
- W4376870897 hasRelatedWork W2175746458 @default.
- W4376870897 hasRelatedWork W2480330148 @default.
- W4376870897 hasRelatedWork W2732542196 @default.
- W4376870897 hasRelatedWork W2738221750 @default.
- W4376870897 hasRelatedWork W2763109982 @default.
- W4376870897 hasRelatedWork W3043510495 @default.
- W4376870897 hasRelatedWork W3107626050 @default.
- W4376870897 hasRelatedWork W3156786002 @default.
- W4376870897 hasRelatedWork W564581980 @default.
- W4376870897 hasRelatedWork W1988248940 @default.
- W4376870897 isParatext "false" @default.
- W4376870897 isRetracted "false" @default.
- W4376870897 workType "article" @default.