articleTop 1% cited
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
IEEE Transactions on Biomedical Engineering · 2015 · Vol. 63(3) · pp. 664–675
Serkan Kıranyaz✉(Qatar University)Türker İnce(İzmir University of Economics)Moncef Gabbouj(Tampere University)
Abstract
Due to its simple and parameter invariant nature, the proposed system is highly generic, and, thus, applicable to any ECG dataset.
ECG Monitoring and AnalysisEEG and Brain-Computer InterfacesNon-Invasive Vital Sign MonitoringComputer scienceConvolutional neural networkArtificial intelligenceFeature extractionPattern recognition (psychology)Feature (linguistics)Remote patient monitoringBenchmark (surveying)Deep learning
MeSH terms
AlgorithmsElectrocardiographyHumansSignal Processing, Computer-AssistedDatabases, FactualNeural Networks, ComputerPrecision Medicine
Citations
1,797
FWCI
33.36
field-weighted impact
References
28
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100%
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