Primary study of respiratory monitoring based on breath sounds
Yu, L.; Liu, Y.; Huang, D.
Zhongguo Yi Liao Qi Xie Za Zhi 39(1): 21-24
2015
ISSN/ISBN: 1671-7104 PMID: 26027288 Document Number: 685489
It is nonlinear relationship between breath sounds and respiratory flow rate, thus breath sounds might be a new solution for respiratory monitoring. The envelope of the breath sounds was created firstly. And the linear relationship between the logarithm of envelope and the respiratory flow rate was proved. Then model parameters were derived from every subject using regression analysis. Finally, using these parameters estimated respiratory flow rate was achieved by the logarithm of envelope with 14.9% error. Therefore, respiratory flow rate estimation and respiration monitoring based on breath sounds are feasible.