Development of Respiratory Signal Monitoring System Based on Photoplethysmography.
10.3969/j.issn.1671-7104.2022.04.004
- Author:
Chenqin LIU
1
;
Sinian YUAN
1
;
Gaozang LIN
1
;
Shijie CAI
1
;
Jilun YE
1
;
Xu ZHANG
1
;
Hao JIN
2
Author Information
1. Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060.
2. Techray Medical Technology Co. Ltd., Changsha, 410035.
- Publication Type:Journal Article
- Keywords:
AR spectrum;
fusion spectrum;
photoplethysmography;
respiratory rate
- MeSH:
Algorithms;
Electrocardiography;
Heart Rate;
Humans;
Photoplethysmography;
Respiration;
Respiratory Rate;
Signal Processing, Computer-Assisted;
Sleep Apnea, Obstructive
- From:
Chinese Journal of Medical Instrumentation
2022;46(4):368-372
- CountryChina
- Language:Chinese
-
Abstract:
Breathing is of great significance in the monitoring of patients with obstructive sleep apnea hypopnea syndrome, perioperative monitoring and intensive care. In this study, a respiratory monitoring and verification system based on optical capacitance product pulse wave (PPG) is designed, which can synchronously collect human PPG signals. Through algorithm processing, the characteristic parameters of PPG signal are calculated, and the respiratory signal and respiratory frequency can be extracted in real time. In order to verify the accuracy of extracting respiratory signal and respiratory rate by the algorithm, the system adds the nasal airflow respiratory signal acquisition module to synchronously collect the nasal airflow respiratory signal as the standard signal for comparison and verification. Finally, the root mean square error between the respiratory rate extracted by the algorithm from the pulse wave and the standard respiratory rate is only 1.05 times/min.
