WiBreathe: Estimating respiration rate using wireless signals in natural settings in the home

@article{Vinisha2015WiBreatheER,
  title={WiBreathe: Estimating respiration rate using wireless signals in natural settings in the home},
  author={Ruth Vinisha and Elliot Saba and Ke-Yu Chen and Mayank Goel and Sidhant Gupta and Shwetak N. Patel},
  journal={2015 IEEE International Conference on Pervasive Computing and Communications (PerCom)},
  year={2015},
  pages={131-139}
}
Sensing respiration rate has many applications in monitoring various health conditions, such as sleep apnea and chronic obstructive pulmonary disease. In this paper, we present WiBreathe, a wireless, high fidelity and non-invasive breathing monitor that leverages wireless signals at 2.4 GHz to estimate an individual's respiration rate. Our work extends past approaches of using wireless signals for respiratory monitoring by using only a single transmitter-receiver pair at the same frequency… CONTINUE READING
Highly Cited
This paper has 36 citations. REVIEW CITATIONS

13 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.