Development of Respiratory Signal Monitoring System Based on Photoplethysmography / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
; (6): 368-372, 2022.
Article
en Zh
| WPRIM
| ID: wpr-939749
Biblioteca responsable:
WPRO
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.
Palabras clave
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Respiración
/
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Fotopletismografía
/
Apnea Obstructiva del Sueño
/
Electrocardiografía
/
Frecuencia Respiratoria
/
Frecuencia Cardíaca
Límite:
Humans
Idioma:
Zh
Revista:
Chinese Journal of Medical Instrumentation
Año:
2022
Tipo del documento:
Article