Non-Contact Breathing Signal Classification Using Hybrid Scalogram Image Representation Feature
When monitoring human vital signs, breathing is one of the most critical physiological metrics. In areas with limited resources and a shortage of trained medical professionals, automated analysis of abnormal breathing patterns may prove advantageous to healthcare systems. In this paper, we implement...
| الحاوية / القاعدة: | International Conference on Advanced Mechatronic Systems, ICAMechS |
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| المؤلفون الرئيسيون: | , , , , , , , |
| التنسيق: | Conference Paper |
| اللغة: | English |
| منشور في: |
IEEE Computer Society
2022
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146369903&doi=10.1109%2fICAMechS57222.2022.10003413&partnerID=40&md5=a87a7d668a61009ccfb891a58b80f36d |