Electrocardiogram (ECG) Analysis From Domain
                   Experience to Classication

                                                        Jun Dong
                                              Chinese Academy of Sciences




                                                        Abstract
                       The core issue of artificial intelligence is thinking simulation. We use
                       the electrocardiogram (ECG) as an example. Here, Abstract and logical
                       thinking work alongside with imagery thinking and experience analysis,
                       and the physicians diagnosis has both macro precepts together with mi-
                       cro particulars. Meanwhile, a few problems restrict clinical acceptance
                       of the many theoretical ECG analysis methods developed during the
                       last forty years, such as whether they are identical with thinking pat-
                       terns in the physicians’ brain, and whether extracted ECG features are
                       sufficient and necessary. Based on the Chinese Cardiovascular Diseases
                       Database (CCDD, http://58.210.56.164: 88/ccdd/)we have designed,
                       physicians diagnosis experience and relevant formal representation are
                       discussed, implicit knowledge that is hard to express is analyzed, and
                       fusion of rules inference and deep learning for ECG classification is im-
                       plemented. We have got the better classification result comparing with
                       the state-of-the-art approaches.




Copyright © by the paper’s authors. Copying permitted for private and academic purposes.
In: T. Ågotnes, B. Liao, Y.N. Wang (eds.): Proceedings of the first Chinese Conference on Logic and Argumentation (CLAR 2016),
Hangzhou, China, 2-3 April 2016, published at http://ceur-ws.org




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