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...
| الحاوية / القاعدة: | IFMBE Proceedings |
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| المؤلف الرئيسي: | |
| التنسيق: | Conference paper |
| اللغة: | English |
| منشور في: |
Springer Science and Business Media Deutschland GmbH
2025
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| 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 |