Comparing Respiratory Monitoring Performance of Commercial Wireless Devices

• DOI: 10.48550/arxiv.1807.06767
• Publication Date: 2018-01-01
• Authors: Peter Hillyard; Anh Luong; Alemayehu Solomon...; Neal Patwari; Krishna M. Sundar; Robert J. Farney; Jason Burch; Christina A. Poru...; Sarah Hatch Pollard
• Keywords: Respiratory monitoring

This paper addresses the performance of systems which use commercial wireless devices to make bistatic RF channel measurements for non-contact respiration sensing. Published research has typically presented results from short controlled experiments on one system. In this paper, we deploy an extensive real-world comparative human subject study. We observe twenty patients during their overnight sleep (a total 160 hours), contact sensors record ground-truth breathing data, patient position is recorded, and four different monitoring simultaneously measurements. evaluate published methods algorithms. find that WiFi state information provide most robust respiratory rate estimates tested. However, all have periods RF-based are not reliable.