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A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification

Ziyang He, Yufei Chen, Shuaiying Yuan, Jianhui Zhao, Zhiyong Yuan, Kemal Polat, Adi Alhudhaif, Fayadh Alenezi, Arwa Hamid, Arwa Hamid

2023Expert Systems with Applications40 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligencePattern recognition (psychology)GraphFeature extractionPoolingFeature (linguistics)Domain (mathematical analysis)ResidualData miningMachine learningAlgorithmTheoretical computer sciencePhilosophyMathematical analysisLinguisticsMathematicsECG Monitoring and AnalysisEEG and Brain-Computer InterfacesPhonocardiography and Auscultation Techniques
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification | Litcius