FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2778545923> ?p ?o ?g. }

• W2778545923 endingPage "254" @default.
• W2778545923 startingPage "242" @default.
• W2778545923 abstract "Computer-aided heartbeat classification has a significant role in the diagnosis of cardiac dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this work, we propose a method for classifying five groups of heartbeats recommended by AAMI standard EC57:1998. Considering the nature of ECG signal, we employed a non-stationary and nonlinear decomposition technique termed as improved complete ensemble empirical mode decomposition (ICEEMD). Later, higher order statistics and sample entropy measures are computed from the intrinsic mode functions (IMFs) obtained from ICEEMD on each ECG segment. Furthermore, three data level pre-processing techniques are performed on the extracted feature set, to balance the distribution of heartbeat classes. Finally, these features fed to AdaBoost ensemble classifier for discriminating the heartbeats. Simulation results show that the proposed method provides a better solution to the class imbalance problem in heartbeat classification." @default.
• W2778545923 created "2018-01-05" @default.
• W2778545923 creator A5004217470 @default.
• W2778545923 creator A5076082319 @default.
• W2778545923 date "2018-03-01" @default.
• W2778545923 modified "2023-10-10" @default.
• W2778545923 title "Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier" @default.
• W2778545923 cites W1588163064 @default.
• W2778545923 cites W1862394037 @default.
• W2778545923 cites W1931284523 @default.
• W2778545923 cites W1981399499 @default.
• W2778545923 cites W1982789443 @default.
• W2778545923 cites W1988183757 @default.
• W2778545923 cites W2004475192 @default.
• W2778545923 cites W2007221293 @default.
• W2778545923 cites W2009465763 @default.
• W2778545923 cites W2010500487 @default.
• W2778545923 cites W2014300858 @default.
• W2778545923 cites W2019900743 @default.
• W2778545923 cites W2023450550 @default.
• W2778545923 cites W2045652708 @default.
• W2778545923 cites W2047266047 @default.
• W2778545923 cites W2063151808 @default.
• W2778545923 cites W2064493351 @default.
• W2778545923 cites W2080802633 @default.
• W2778545923 cites W2083077661 @default.
• W2778545923 cites W2090581774 @default.
• W2778545923 cites W2095409369 @default.
• W2778545923 cites W2096911172 @default.
• W2778545923 cites W2099454382 @default.
• W2778545923 cites W2103308415 @default.
• W2778545923 cites W2104614052 @default.
• W2778545923 cites W2108197782 @default.
• W2778545923 cites W2117624000 @default.
• W2778545923 cites W2118183148 @default.
• W2778545923 cites W2120390927 @default.
• W2778545923 cites W2122111042 @default.
• W2778545923 cites W2124785086 @default.
• W2778545923 cites W2127854713 @default.
• W2778545923 cites W2128935152 @default.
• W2778545923 cites W2130769894 @default.
• W2778545923 cites W2132300419 @default.
• W2778545923 cites W2133876672 @default.
• W2778545923 cites W2148143831 @default.
• W2778545923 cites W2154053567 @default.
• W2778545923 cites W2159543062 @default.
• W2778545923 cites W2159959108 @default.
• W2778545923 cites W2160986881 @default.
• W2778545923 cites W2181608983 @default.
• W2778545923 cites W2277019862 @default.
• W2778545923 cites W2284236507 @default.
• W2778545923 cites W2285010888 @default.
• W2778545923 cites W2331050695 @default.
• W2778545923 cites W2338318698 @default.
• W2778545923 cites W2464260898 @default.
• W2778545923 cites W2577361998 @default.
• W2778545923 cites W2627037849 @default.
• W2778545923 cites W3004732066 @default.
• W2778545923 cites W4212883601 @default.
• W2778545923 doi "https://doi.org/10.1016/j.bspc.2017.12.004" @default.
• W2778545923 hasPublicationYear "2018" @default.
• W2778545923 type Work @default.
• W2778545923 sameAs 2778545923 @default.
• W2778545923 citedByCount "104" @default.
• W2778545923 countsByYear W27785459232018 @default.
• W2778545923 countsByYear W27785459232019 @default.
• W2778545923 countsByYear W27785459232020 @default.
• W2778545923 countsByYear W27785459232021 @default.
• W2778545923 countsByYear W27785459232022 @default.
• W2778545923 countsByYear W27785459232023 @default.
• W2778545923 crossrefType "journal-article" @default.
• W2778545923 hasAuthorship W2778545923A5004217470 @default.
• W2778545923 hasAuthorship W2778545923A5076082319 @default.
• W2778545923 hasConcept C106131492 @default.
• W2778545923 hasConcept C106301342 @default.
• W2778545923 hasConcept C121332964 @default.
• W2778545923 hasConcept C13852961 @default.
• W2778545923 hasConcept C141404830 @default.
• W2778545923 hasConcept C153180895 @default.
• W2778545923 hasConcept C154945302 @default.
• W2778545923 hasConcept C25570617 @default.
• W2778545923 hasConcept C31972630 @default.
• W2778545923 hasConcept C38652104 @default.
• W2778545923 hasConcept C41008148 @default.
• W2778545923 hasConcept C62520636 @default.
• W2778545923 hasConcept C66696666 @default.
• W2778545923 hasConcept C95623464 @default.
• W2778545923 hasConceptScore W2778545923C106131492 @default.
• W2778545923 hasConceptScore W2778545923C106301342 @default.
• W2778545923 hasConceptScore W2778545923C121332964 @default.
• W2778545923 hasConceptScore W2778545923C13852961 @default.
• W2778545923 hasConceptScore W2778545923C141404830 @default.
• W2778545923 hasConceptScore W2778545923C153180895 @default.
• W2778545923 hasConceptScore W2778545923C154945302 @default.
• W2778545923 hasConceptScore W2778545923C25570617 @default.
• W2778545923 hasConceptScore W2778545923C31972630 @default.
• W2778545923 hasConceptScore W2778545923C38652104 @default.
• W2778545923 hasConceptScore W2778545923C41008148 @default.

• next