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:	6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, ICOBE 2023
المؤلفون الرئيسيون:	Husaini, Muhammad; Kamarudin, Latifah Munirah; Nishizaki, Hiromitsu; Kamarudin, Intan Kartika; Ibrahim, Muhammad Amin; Zakaria, Ammar; Toyoura, Masahiro; Mao, Xiaoyang
التنسيق:	Proceedings Paper
اللغة:	English
منشور في:	SPRINGER INTERNATIONAL PUBLISHING AG 2025
الموضوعات:	Engineering
الوصول للمادة أونلاين:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001434848400013

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