a method to detect and exclude the distorted signal for robust wireless vital signs monitoring

What is it about?

This paper introduces a method to achieve robust non-contact vital signs monitoring by detecting and excluding the distorted signal.

Featured Image

Photo by Robina Weermeijer on Unsplash

Photo by Robina Weermeijer on Unsplash

Why is it important?

Non-contact vital signs monitoring is promising for in-home healthcare, however, is susceptible to the signal distortion. It necessitates a reliable signal quality detection approach to detect and exclude the distorted signal and enable robust monitoring. Two important findings are that: 1) the heart rate and respiratory rate are not always available concurrently in the wireless signal and should be decoupled. 2) we identify the respective feature subsets to achieve the optimal detection performance for heart rate and respiratory rate measurement.