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:	IFMBE Proceedings
第一著者:	Husaini M.; Kamarudin L.M.; Nishizaki H.; Kamarudin I.K.; Ibrahim M.A.; Zakaria A.; Toyoura M.; Mao X.
フォーマット:	Conference paper
言語:	English
出版事項:	Springer Science and Business Media Deutschland GmbH 2025
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215549346&doi=10.1007%2f978-3-031-80355-0_13&partnerID=40&md5=53fea716e5f27f9edbb40d137db0e0ec

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