Nov 17 – 18, 2022
Mercure Budapest Castle Hill
Europe/Budapest timezone

Classifying ECG signlas using linear laws

Not scheduled
Mercure Budapest Castle Hill

Mercure Budapest Castle Hill

Budapest, Ntak:Sz19000364, Szálloda, Krisztina krt. 41-43, 1013•(06 1) 488 8100


Peter Posfay (Eötvös Lóránd University)


I introduce a new method called linear law-based feature space transformation (LLT) which can be applied in the analysis of time series. This method builds on ideas from physics and data science. It implements a transformation of the input time series in such a way that the resulting feature set can be effectively used for classification tasks. After describing the method, I present its application for classifying healthy and ectopic ECG signals. First the linear law-based transformation is applied on the ECG dataset than it is studied how different classification methods perform on it. Based on the method 93% - 97% accuracy can be achieved using simple methods like support vector machines, KNNs and random forests.

Primary authors

Peter Posfay (Eötvös Lóránd University) Antal Jakovác Marcell Tamás Kurbucz (Wigner RCP)

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