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Wrist Photo-Plethysmography and Bio-Impedance Sensor for Cuff-Less Blood Pressure Monitoring

机译:腕式心律描记术和生物阻抗传感器,可监测无袖带血压

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A multimodal wrist sensor system is proposed in this paper for a wearable reflectance photo-plethysmography (PPG) and impedance-plethysmography (IPG) biomedical data sensing. A near Infrared (NIR) optical wavelength has been used to extract PPG signal from subject's wrist, while tetra-polar configuration based IPG sensor using two pairs of electrodes for current injection and voltage detection are used to acquire IPG signal. Furthermore, the signal arrival time delay between the IPG and PPG signal in two different but closed arterial sites (wrist area) known as pulse transit time (PTT) is used to estimate subject's blood pressure cufflessly. As an initial study, two clinical points have been extracted from both IPG and PPG signal, such as B-point, and Maximum of 2nd derivative of the signal, respectively. Therefore, a predicted systolic blood pressure (SBP) and diastolic blood pressure (DBP) achieved a mean absolute deviation of 4.16 pmb±5.23 and 2.44 pmb±3.12, respectively.
机译:本文提出了一种多模态腕部传感器系统,用于可穿戴反射光体积描记法(PPG)和阻抗体积描记法(IPG)生物医学数据感测。近红外(NIR)光波长已用于从受试者的手腕提取PPG信号,而基于四极配置的IPG传感器则使用两对用于电流注入和电压检测的电极来获取IPG信号。此外,IPG和PPG信号在两个不同但闭合的动脉部位(腕部区域)之间的信号到达时间延迟被称为脉搏传播时间(PTT),可用于无袖地估计受试者的血压。作为一项初步研究,已从IPG和PPG信号中分别提取了两个临床点,例如B点和信号的最大二阶导数。因此,预测的收缩压(SBP)和舒张压(DBP)的平均绝对偏差分别为4.16 pmb±5.23和2.44 pmb±3.12。

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