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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	IFMBE Proceedings
المؤلف الرئيسي:	Husaini M.; Kamarudin L.M.; Nishizaki H.; Kamarudin I.K.; Ibrahim M.A.; Zakaria A.; Toyoura M.; Mao X.
التنسيق:	Conference paper
اللغة:	English
منشور في:	Springer Science and Business Media Deutschland GmbH 2025
الوصول للمادة أونلاين:	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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