1-D Convolutional Neural Networks for real-time patient-specific ECG classification
A proposed 1-D Convolutional Neural Network for real-time patient-specific ECG classification is highly generic and applicable to any ECG dataset.
Due to its simple and parameter invariant nature, the proposed system is highly generic, and, thus, applicable to any ECG dataset.
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Serkan Kıranyaz
Electrophysiology
Türker İnce
Research Council of Finland
Moncef Gabbouj
Rutgers, The State University of New Jersey
IEEE Transactions on Biomedical Engineering
Qatar University
İzmir University of Economics
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Kıranyaz et al. (Fri,) studied this question.
synapsesocial.com/papers/69d7097199397875bbaa823e — DOI: https://doi.org/10.1109/tbme.2015.2468589