基于加速度计的无袖带连续血压测量方法
Accelerometric Method for Cuffless Continuous Blood Pressure Measurement
AI总结：
本文提出一种基于 MEMS 加速度传感器获取心震图并提取左心室射血时间，从而实现无袖带连续血压测量的方法，实验表明其精度满足 IEEE 标准，可用于长期血压监测。
摘要：
脉搏传导时间（PTT）已被广泛用于无袖带血压（BP）测量。但该方法需要不止一种心血管信号，涉及不止一个传感设备。本文提出一种借助左心室射血时间（LVET）进行连续无袖带血压测量的方法。LVET 通过基于微机电系统（MEMS）的加速度传感器获取的信号进行估计。该传感器在胸表采集心震图（SCG）信号，并从中提取 LVET 信息。通过使用受试者原始动脉血压值对系统进行校准，估计收缩压（SBP）和舒张压（DBP）。在仰卧位下从十名受试者采集的信号上，使用不同的定量指标对所提方法进行评估。还将所提方法的性能与两种早期方法进行了比较，这两种方法分别从心电图（ECG）-光电容积脉搏波（PPG）和 SCG-PPG 中估计 PTT 间隔。性能结果清楚地表明，所提方法与当前最先进方法相当。同时，将计算得到的血压与通过 CNAP 系统测得的原始血压进行比较。结果表明，估计的收缩压和舒张压平均误差分别在 -0.19 ± 3.3 mmHg 和 -1.29 ± 2.6 mmHg 范围内。收缩压和舒张压的平均绝对误差分别为 3.2 mmHg 和 2.6 mmHg。所提方法估计的血压精度满足 IEEE 标准中 5 ± 8 mmHg 偏差的要求，因此可用于长期普适血压监测。
英文摘要：
Pulse transit time (PTT) has been widely used for cuffless blood pressure (BP) measurement. But, it requires more than one cardiovascular signals involving more than one sensing device. In this paper, we propose a method for continuous cuffless blood pressure measurement with the help of left ventricular ejection time (LVET). The LVET is estimated using a signal obtained through a micro-electromechanical system (MEMS)-based accelerometric sensor. The sensor acquires a seismocardiogram (SCG) signal at the chest surface, and the LVET information is extracted. Both systolic blood pressure (SBP) and diastolic blood pressure (DBP) are estimated by calibrating the system with the original arterial blood pressure values of the subjects. The proposed method is evaluated using different quantitative measures on the signals collected from ten subjects under the supine position. The performance of the proposed method is also compared with two earlier approaches, where PTT intervals are estimated from electrocardiogram (ECG)-photoplethysmogram (PPG) and SCG-PPG, respectively. The performance results clearly show that the proposed method is comparable with the state-of-the-art methods. Also, the computed blood pressure is compared with the original one, measured through a CNAP system. It gives the mean errors of the estimated systolic BP and diastolic BP within the range of -0.19 +/- 3.3 mmHg and -1.29 +/- 2.6 mmHg, respectively. The mean absolute errors for systolic BP and diastolic BP are 3.2 mmHg and 2.6 mmHg, respectively. The accuracy of BPs estimated from the proposed method satisfies the requirements of the IEEE standard of 5 +/- 8 mmHg deviation, and thus, it may be used for ubiquitous long term blood pressure monitoring.
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