Hybrid Deep Learning Models for Classification of Normal and Abnormal Breathing Patterns Using Ultra-Wideband Radar

Hybrid Deep Learning Models for Classification of Normal and Abnormal Breathing Patterns Using Ultra-Wideband Radar

Breathing is considered a crucial physiological metric when monitoring human vital signs. In resource-constrained environments with limited access to trained medical professionals, the automated analysis of abnormal breathing patterns can offer significant advantages to healthcare systems. In this r...

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Bibliographic Details
Published in:6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, ICOBE 2023
Main Authors: Husaini, Muhammad; Kamarudin, Latifah Munirah; Nishizaki, Hiromitsu; Kamarudin, Intan Kartika; Ibrahim, Muhammad Amin; Zakaria, Ammar; Toyoura, Masahiro; Mao, Xiaoyang
Format: Proceedings Paper
Language:English
Published: SPRINGER INTERNATIONAL PUBLISHING AG 2025
Subjects:
Engineering
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001434848400013

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https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001434848400013

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