• EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication 

      Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ...
    • Real-time DWT-based compression for wearable Electrocardiogram monitoring system 

      Al-Busaidi A.M.; Khriji L.; Touati F.; Rasid M.F.A.; Ben Mnaouer A. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Compression of Electrocardiogram signal is important for digital Holters recording, signal archiving, transmission over communication channels and Telemedicine. This paper introduces an effective real-time compression ...