F. Wang, R. Quiniou, G. Carrault, and M.-O. Cordier. Learning structural knowledge from the ECG. In Proceedings of Second International Symposium on Medical Data Analysis, volume 2199 of Lecture Notes in Computer Science, pages 288-294. Springer-Verlag, 2001.  Home/Search   Document Details and Download   Summary   Related Articles

....results with ICL on this data confirm this. 6.6.2 Identification of cardiac arrhythmias In the domain of cardiology, ICL has been used successfully at the University of Rennes (IRISA and LTSI) for learning to identify cardiac arrhythmias. Results have been published in [Carrault et al. 1999; Wang et al. 2001; Quiniou et al. 2001] The idea is the following: given the input signals from multi channel electrocardiograms (ECG s) try to characterise rhythm and conduction disorders that may affect a patient, in this case cardiac arrhythmias. The signals are transformed by a separate module into a ....

....of different areas of the heart. Some classes of arrhythmia can be detected on one cycle (from one beat to the next) others need several cycles (beats) Several experiments are described in the published papers. To give an idea of the learned theory, the following two rules are given in [Wang et al. 2001], based on an experiment with 4 classes of arrhythmias: class(bigeminy) 13, 0, 0, 0] 5, 19, 17, 18] p wave(P0, normal, qrs(R0, normal, P0) qrs(R1, abnormal, R0) rrl(R0, R1, short) p wave(P2, normal, R1) qrs(R2, normal, P2) class(bigeminy) 5, 0, 0, 0] 13, 19, 17, 18] ....

F. Wang, R. Quiniou, G. Carrault, and M.-O. Cordier. Learning structural knowledge from the ECG. In Proceedings of Second International Symposium on Medical Data Analysis, volume 2199 of Lecture Notes in Computer Science, pages 288-294. Springer-Verlag, 2001.

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