Breathing signal combining for respiration rate estimation in smart beds
One of the non-invasive ways to measure respiratory effort is in-bed pressure sensor arrays. Based on the area of the bed and the sensor array covered by a patient's body, some sensors may not include significant respiratory effort components or may have low signal to noise ratios. When combining signals from the different sensors, this can produce a low quality output signal. Signal combiners can overcome this problem. This paper describes two different methods of signal combining to achieve a good estimation of the respiratory rate and the respiratory signal itself. To assess the performance, a participant was asked to lay on the bed in supine position while having normal breathing. Our results indicate that both methods can perform very satisfactorily when compared to a gold standard signal, and that they can outperform some previously published methods.
|Keywords||breathing signal, pressure sensor array, respiration rate, signal combining, unobtrusive monitoring|
|Conference||12th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017|
Azimi, H. (H.), Soleimani Gilakjani, S. (S.), Bouchard, M. (M.), Bennett, S. (S.), Goubran, R, & Knoefel, F. (F.). (2017). Breathing signal combining for respiration rate estimation in smart beds. In 2017 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017 - Proceedings (pp. 303–307). doi:10.1109/MeMeA.2017.7985893