Cross-domain transfer learning for pcg diagnosis algorithm

Kuo Kun Tseng, Chao Wang, Yu Feng Huang, Guan Rong Chen, Kai Leung Yung, Wai Hung Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map. In this paper, phonocardiogram (PCG) is used as a diagnostic signal, and a deep learning diagnostic framework is proposed. By improving the architecture and modules, a new transfer learning and boosting architecture is mainly employed. In addition, a segmentation method is designed to improve on the existing signal segmentation methods, such as R wave to R wave interval segmentation and fixed segmentation. For the evaluation, the final diagnostic architecture achieved a sustainable performance with a public PCG database.

Original languageEnglish
Article number127
Issue number4
Publication statusPublished - Apr 2021


  • Biosignal diagnosis
  • Phonocardiogram
  • Transfer learning

ASJC Scopus subject areas

  • Clinical Biochemistry


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