Author

Xiao-Dong Yang

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Open access Sep 2026

A novel deep learning approach for denoising and classification of SDRF sensing data for breathing patterns

This study presents a deep learning-enabled framework for non-contact respiratory pattern classification using software-defined radio frequency sensing. The proposed approach builds on an SDR-based wireless channel state information acquisition system to identify three breathing patterns: normal breathing, fast breathi...

Qurat Ul Ain, Nan Zhao, R. Asif et al. · Discover Artificial Intellig... · 0 citations

Conference Open access 2026

RF Sensing to Detect Breathing Abnormality using Machine Learning

This paper demonstrates the reliability of Radio Frequency (RF)-based systems for respiratory monitoring, as well as the possibility of extracting highly detailed features relevant to developing more complex, real-time healthcare solutions.

Qurat Ul Ain, R. Asif, Nan Zhao et al. · E3S Web of Conferences · 0 citations