In:
Biosensors, MDPI AG, Vol. 11, No. 4 ( 2021-04-20), p. 127-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
2079-6374
DOI:
10.3390/bios11040127
Language:
English
Publisher:
MDPI AG
Publication Date:
2021
detail.hit.zdb_id:
2662125-3