Non-Contact Breathing Signal Classification Using Hybrid Scalogram Image Representation Feature

Non-Contact Breathing Signal Classification Using Hybrid Scalogram Image Representation Feature

When monitoring human vital signs, breathing is one of the most critical physiological metrics. In areas with limited resources and a shortage of trained medical professionals, automated analysis of abnormal breathing patterns may prove advantageous to healthcare systems. In this paper, we implement...

Full description

Bibliographic Details
Published in:International Conference on Advanced Mechatronic Systems, ICAMechS
Main Authors: Husaini M., Kamarudin L.M., Nishizaki H., Kamarudin I.K., Ibrahim M.A., Zakaria A., Toyoura M., Mao X.
Format: Conference Paper
Language:English
Published: IEEE Computer Society 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146369903&doi=10.1109%2fICAMechS57222.2022.10003413&partnerID=40&md5=a87a7d668a61009ccfb891a58b80f36d

Internet

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146369903&doi=10.1109%2fICAMechS57222.2022.10003413&partnerID=40&md5=a87a7d668a61009ccfb891a58b80f36d

Similar Items