Now showing items 1-3 of 3

    • Fetal ECG extraction from maternal ECG using attention-based cycleGAN 

      Mohebbian, Mohammad Reza; Vedaei, Seyed Shahim; Wahid, Khan A.; Dinh, Anh; Marateb, Hamid Reza; Tavakolian, Kouhyar (Institute of Electrical and Electronics Engineers (IEEE), 2022-02)
      Open Access
      A non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from the maternal ECG (MECG) is a blind source separation problem, which is hard due to ...
    • Prosthesis control using undersampled surface electromyographic signals 

      Marateb, Hamid Reza; Ziaie Nezhad, Farzad; Nosouhi, Marjan; Nasr Esfahani, Zahra; Fazilati, Farzaneh; Yusefi, Fatemeh; Amiri, Golnaz; Maleki Far, Negar; Rastegari, Mohsen; Mohebbian, Mohammad Reza; Wahid, Khan A.; Jordanic, Mislav; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Mansourian Gharakozlou, Marjan (CRC Press, 2021-08-11)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Amputations can result in disability, permanent physical injury, and even posttraumatic stress disorder. Upper extremity amputations are mostly work-related, and such injuries include about 7% of the total burden of disease. ...
    • Semi-supervised active transfer learning for fetal ECG arrhythmia detection 

      Mohebbian, Mohammad Reza; Marateb, Hamid Reza; Wahid, Khan A. (Elsevier, 2023)
      Open Access
      Deep learning has demonstrated excellent results for ECG anomaly detection, wherein most approaches used supervised learning. The requirement of thousands of manually annotated samples is a concern for state-of-the-art ...