基于PPG信号的呼吸监测系统的研制

      Development of Respiratory Signal Monitoring System Based on Photoplethysmography

      • 摘要: 呼吸在对阻塞性睡眠呼吸暂停低通气综合征患者的监护、围术期的监测以及重症患者的监护等方面均有重要意义。该研究设计了一套基于光电容积脉搏波(PPG)的呼吸监测与验证系统,可同步采集人体的PPG信号。通过算法处理计算PPG信号的特征参数,通过PPG信号实时提取呼吸信号及呼吸率。为验证算法提取呼吸信号及呼吸率的准确性,系统加入了鼻气流呼吸信号采集模块,同步采集鼻气流呼吸信号作为标准信号来做对比验证,算法从脉搏波中提取的呼吸率与标准呼吸率的均方根误差仅为1.05次/分。

         

        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.

         

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