Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks

@article{Humayun2020TowardsDI,
  title={Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks},
  author={A. Humayun and Shabnam Ghaffarzadegan and Md. Istiaq Ansari and Zhe Feng and T. Hasan},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2020},
  volume={24},
  pages={2189-2198}
}
  • A. Humayun, Shabnam Ghaffarzadegan, +2 authors T. Hasan
  • Published 2020
  • Computer Science, Engineering, Medicine
  • IEEE Journal of Biomedical and Health Informatics
  • Objective: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these systems is affected by numerous factors including the stethoscope/sensor, environment, and data collection protocol. This article studies the adverse effect of domain variability on heart sound abnormality detection and develops strategies to address… CONTINUE READING

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