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

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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...

書誌詳細
出版年:	6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, ICOBE 2023
主要な著者:	Husaini, Muhammad; Kamarudin, Latifah Munirah; Nishizaki, Hiromitsu; Kamarudin, Intan Kartika; Ibrahim, Muhammad Amin; Zakaria, Ammar; Toyoura, Masahiro; Mao, Xiaoyang
フォーマット:	Proceedings Paper
言語:	English
出版事項:	SPRINGER INTERNATIONAL PUBLISHING AG 2025
主題:	Engineering
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001434848400013

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