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In this paper, we propose a method for respiratory rate estimation based on the received signal strength of narrowband radio frequency transceivers. We employ a state-space formulation of periodic Gaussian processes to model the observed variations in the signal strength. This is then used in a Rao-Blackwellized unscented Kalman filter which exploits the linear substructure of the proposed model and...
Respiratory rate is an important vital sign that can indicate progression of illness but to also predict rapid decline in health. For the purpose, non-contact monitoring systems are becoming more popular due to the self-evident increase in patient comfort. As a cost effective solution for non-invasive breathing monitoring, utilizing the received signal strength measurements of inexpensive transceivers...
Several future wireless communication systems will exploit multiple frequency channels simultaneously to reduce delay, enhance throughput and/or improve robustness. Nevertheless, the impact of multi-channel communications on different applications has not been comprehensively studied even though it is of significant importance to understand the interdependencies between the communication and application...
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