More Like this

1. ECG Language processing (ELP): A new technique to analyze ECG signals

   https://doi.org/10.1016/j.cmpb.2021.105959  

   Mousavi, Sajad; Afghah, Fatemeh; Khadem, Fatemeh; Acharya, U. Rajendra (April 2021, Computer Methods and Programs in Biomedicine)

   null (Ed.)
2. DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

   https://doi.org/10.1109/JBHI.2023.3237712  

   Li, Huayu; Ditzler, Gregory; Roveda, Janet; Li, Ao (January 2023, IEEE Journal of Biomedical and Health Informatics)
3. ECG-grained Cardiac Monitoring Using RFID

   https://doi.org/10.1109/ICCCN61486.2024.10637648  

   Wang, Ningning; Zhao, Tianya; Mao, Shiwen; Bai, Harrison X; Jiao, Zhicheng; Wang, Xuyu (July 2024, IEEE)
4. Arrhythmia Classification Using CGAN-Augmented ECG Signals

   https://doi.org/10.1109/BIBM55620.2022.9995088  

   Adib, Edmond; Afghah, Fatemeh; Prevost, John J. (December 2022, IEEE)
5. ECG Biometric Spoofing Using Adversarial Machine Learning

   https://doi.org/10.1109/ICCE50685.2021.9427645  

   Garg, Amit; Karimian, Nima (April 2021, IEEE International Conference on Consumer Electronics (ICCE))

   As the Covid-19 pandemic becomes a nationwide problem, physical contact is no longer acceptable. Therefore, biometric technology can be used for practicing social distancing to prevent the spread of the virus. However, face and fingerprint are vulnerable to presentation attacks. Hence alternative modalities such as ECG based biometric become popular. In this paper, we develop a novel presentation attack using a GAN where a short template of the victim's ECG is captured by an attacker and used to generate synthetic fake ECG signals. We also propose a novel framework utilizing residual neural network architecture to analyze ECG presentation attacks. 

   more » « less