Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
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DOI：
10.1109/tbme.2016.2580904
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发表时间：
2017-04-01
影响因子：
4.6
通讯作者：
Shabany, Mahdi
中科院分区：
文献类型：
--
作者：
Kachuee, Mohammad;Kiani, Mohammad Mahdi;Shabany, Mahdi
目的：连续血压（BP）监测可以提供有关个人健康状况的宝贵信息。然而，BP通常使用不方便的基于袖带的仪器来测量，这妨碍了连续的BP监测。本文提出了一种有效的算法，基于脉冲到达时间（PAT），用于连续和无袖带估计的收缩压，舒张压（DBP），和平均动脉压（MAP）值。研究方法：该框架通过处理生命信号并提取两种类型的特征来估计BP值，这两种特征是基于生理参数或基于整体的生命信号表示。最后，回归算法用于BP估计。虽然所提出的算法工作可靠，无需任何校准，一个可选的校准程序也建议，这可以进一步提高系统的精度。结果如下：使用美国医疗器械促进协会（AAMI）和英国高血压协会（BHS）的标准，对约1000名受试者进行了评估。该方法在DBP和MAP值估计方面符合AAMI标准。关于BHS方案，DBP估计结果达到A级，MAP估计结果达到B级。结论：我们的结论是，通过使用PAT与来自生命信号的信息特征相结合，可以以无创的方式准确可靠地估计BP。重要性：结果表明，所提出的算法的袖带估计的BP可以潜在地使移动的医疗保健小工具，以监测BP连续。
Goal: Continuous blood pressure (BP) monitoring can provide invaluable information about individuals' health conditions. However, BP is conventionally measured using inconvenient cuff-based instruments, which prevents continuous BP monitoring. This paper presents an efficient algorithm, based on the pulse arrival time (PAT), for the continuous and cuffless estimation of the systolic BP, diastolic blood pressure (DBP), and mean arterial pressure (MAP) values. Methods: The proposed framework estimates the BP values through processing vital signals and extracting two types of features, which are based on either physiological parameters or whole-based representation of vital signals. Finally, the regression algorithms are employed for the BP estimation. Although the proposed algorithm works reliably without any need for calibration, an optional calibration procedure is also suggested, which can improve the system's accuracy even further. Results: The proposed method is evaluated on about a thousand subjects using the Association for the Advancement of Medical Instrumentation (AAMI) and the British Hypertension Society (BHS) standards. The method complies with the AAMI standard in the estimation of DBP and MAP values. Regarding the BHS protocol, the results achieve grade A for the estimation of DBP and grade B for the estimation of MAP. Conclusion: We conclude that by using the PAT in combination with informative features from the vital signals, the BP can be accurately and reliably estimated in a noninvasive fashion. Significance: The results indicate that the proposed algorithm for the cuffless estimation of the BP can potentially enable mobile health-care gadgets to monitor the BP continuously.