RF-Q: Unsupervised Signal Quality Assessment for Robust RF-based Respiration Monitoring

Abstract

Continuous monitoring of respiration provides invaluable insights about health status management (e.g., the progression or recovery of diseases). Recent advancements in radio frequency (RF) technologies show promise for continuous respiration monitoring by virtue of their non-invasive nature, and preferred over wearable solutions that require frequent charging and continuous wearing. However, RF signals are susceptible to large body movements, which are inevitable in real life, challenging the robustness of respiration monitoring.

Year of Publication
2023
Conference Name
ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies
Date Published
01