Study on Respiratory Rate Monitoring Method Based on Breath Sounds.
10.3969/j.issn.1671-7104.2018.06.001
- Author:
Wenyu LI
1
;
Jing LIU
1
;
Lu YU
1
Author Information
1. Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, 110122.
- Publication Type:Journal Article
- Keywords:
Bland-Altman analysis;
average power;
respiratory rate;
respiratory sounds
- MeSH:
Algorithms;
Humans;
Monitoring, Physiologic;
instrumentation;
Respiratory Rate;
Respiratory Sounds
- From:Chinese Journal of Medical Instrumentation
2018;42(6):391-394
- CountryChina
- Language:Chinese
-
Abstract:
The article aims to discuss the feasibility of using respiratory sounds to monitor respiratory rate. The average power of respiratory sounds was created firstly, the autocorrelation algorithm was used to calculate the respiratory cycle. The respiratory cycle of nasal flow pressure signal was calculated simultaneously, and the result was taken as a reference standard, then, two groups of respiratory cycle data were analyzed by correlation analysis and Bland-Altman analysis. The respiratory rate is relatively stable, using respiratory sounds monitor respiratory rate is feasible, the respiratory rate changes obviously, the existing methods and algorithm using respiratory sounds are temporarily unable to accurately reflect the changes of respiratory rate, further research is needed.
