Ahmaniemi Teemu, Rajala Satu, Lindholm Harri, Taipalus Tapio, Muller Kiti
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:2772-2775. doi: 10.1109/EMBC.2018.8512876.
Many studies dealing with blood pressure modeling are evaluated based on a single type of provocation. This paper investigates widely used provocations such as controlled breathing, mental arithmetic and Stroop tests, Valsalva maneuver, cold pressor and muscle tension and combines them in a versatile laboratory protocol. The protocol was tested in an experiment where pulse arrival time (PAT) and heart rate (HR) were measured with chest ECG and finger PPG sensors and blood pressure (BP) with continuous fingercuff monitor. The experiment results show that mental tasks provoked HR, BP and PAT very little while cold pressor and muscle tension had strong impact in all parameters. Valsalva maneuver had strongest impact in HR and PAT but the effect was transient like. We also predicted systolic BP based on the PAT values. We selected nine points in the protocol to calculate linear prediction model for each subject and then fitted data points to the models. If only the calibration points are taken into account, the correlation between the predicted and measured systolic BP was 0.91. When all the data points are fed into model, correlation was 0.75.
许多关于血压建模的研究都是基于单一类型的刺激进行评估的。本文研究了诸如控制呼吸、心算和斯特鲁普测试、瓦尔萨尔瓦动作、冷加压和肌肉紧张等广泛使用的刺激，并将它们整合到一个通用的实验室方案中。该方案在一项实验中进行了测试，在该实验中，使用胸部心电图和手指光电容积脉搏波描记术（PPG）传感器测量脉搏到达时间（PAT）和心率（HR），并使用连续指套式血压计监测血压（BP）。实验结果表明，心理任务对HR、BP和PAT的刺激很小，而冷加压和肌肉紧张对所有参数都有强烈影响。瓦尔萨尔瓦动作对HR和PAT的影响最强，但这种影响是短暂的。我们还基于PAT值预测收缩压。我们在方案中选择了九个点来为每个受试者计算线性预测模型，然后将数据点拟合到模型中。如果仅考虑校准点，预测的收缩压与测量的收缩压之间的相关性为0.91。当所有数据点都输入模型时，相关性为0.75。
