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Can Electrocardiogram Classification be Applied to Phonocardiogram Data? :: An Analysis Using Recurrent Neural Networks
2016 Computing in Cardiology Conference (CinC)
Both a Phonocardiogram (PCG) and an Electrocardiogram (ECG) are sequential measurements of heart activity used to distinguish normal from abnormal heart function. Although they measure different physical quantities, we show that training a long short-term memory network on the Physionet challenge using only the ECG data available for the MIT heart sounds database still yields a score of 0.74 compared to the reference score of 0.82 for a similar net trained on the PCG data. This finding suggestsdoi:10.22489/cinc.2016.167-215 fatcat:4h7hqibutzfpbdmf2c3vycyl6i