Wang Ruiping, Jia Wenyan, Mao Zhi-Hong, Sclabassi Robert J, Sun Mingui
Department of Biomedical Engineering, Beijing Jiaotong University, Beijing, China.
Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Int Conf Signal Process Proc. 2014 Oct;2014:115-118. doi: 10.1109/ICOSP.2014.7014980.
It has been reported that the pulse transit time (PTT), the interval between the peak of the R-wave in electrocardiogram (ECG) and the fingertip photoplethysmogram (PPG), is related to arterial stiffness, and can be used to estimate the systolic blood pressure (SBP) and diastolic blood pressure (DBP). This phenomenon has been used as the basis to design portable systems for continuously cuff-less blood pressure measurement, benefiting numerous people with heart conditions. However, the PTT-based blood pressure estimation may not be sufficiently accurate because the regulation of blood pressure within the human body is a complex, multivariate physiological process. Considering the negative feedback mechanism in the blood pressure control, we introduce the heart rate (HR) and the blood pressure estimate in the previous step to obtain the current estimate. We validate this method using a clinical database. Our results show that the PTT, HR and previous estimate reduce the estimated error significantly when compared to the conventional PTT estimation approach (p<0.05).
据报道,脉搏传输时间(PTT),即心电图(ECG)中R波峰值与指尖光电容积脉搏波图(PPG)之间的间隔,与动脉僵硬度有关,可用于估计收缩压(SBP)和舒张压(DBP)。这一现象已被用作设计连续无袖带血压测量便携式系统的基础,造福了众多心脏病患者。然而,基于PTT的血压估计可能不够准确,因为人体血压调节是一个复杂的多变量生理过程。考虑到血压控制中的负反馈机制,我们引入心率(HR)和上一步的血压估计值来获得当前估计值。我们使用临床数据库对该方法进行了验证。我们的结果表明,与传统的PTT估计方法相比,PTT、HR和先前的估计值显著降低了估计误差(p<0.05)。