Abstract
We tackle the problem of discovering, without the “manual” aid of an expert, implicit relations and temporal constraints from a collection of dated events detected on temporally structured signals. The approach associates tightly signal processing and symbolic learning methods. It is illustrated on learning cardiac arrhythmias from ECGs.
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Wang, F., Quiniou, R., Carrault, G., Cordier, M.O. (2001). Learning Structural Knowledge from the ECG. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_44
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DOI: https://doi.org/10.1007/3-540-45497-7_44
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