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Adaptive hydrostatic blood pressure calibration: Development of a wearable, autonomous pulse wave velocity blood pressure monitor

机译:自适应静压血压校准:耐磨,自主脉冲波速度血压监测器的开发

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A technique for calibrating non-invasive peripheral arterial sensor signals to peripheral arterial blood pressure (BP) is proposed. The adaptive system identification method utilizes a measurable intra-arterial hydrostatic pressure change in the sensor outfitted appendage to identify the transduction dynamics relating the peripheral arterial blood pressure and the measured arterial sensor signal. The proposed algorithm allows identification of the calibration dynamics despite unknown physiologic fluctuations in arterial pressure during the calibration period under certain prescribed conditions. By employing unique wearable sensor architecture to estimate pulse wave velocity (PWV), this technique is used to calibrate peripheral pulse transit time measurements to arterial blood pressure. This sensor architecture is comprised of two inline photoplethysmograph sensors one in the form of a wristwatch measuring the pulse waveform in the ulnar artery and one in the form of a ring measuring the pulse waveform from the digital artery along the base of the little finger. Experimental results using the proposed algorithm to calibrate PTT to BP on human subjects will be presented.
机译:提出了一种校准非侵入性外周动脉传感器信号与外周动脉血压(BP)的技术。自适应系统识别方法利用传感器的可测量动脉静压压力变化,该传感器包装的附件中的转导动力学与周围动脉血压和测量的动脉传感器信号相关。该算法允许校正校准动力学,尽管在某些规定的条件下校准期间动脉压力未知的生理波动。通过采用独特的可穿戴传感器架构来估计脉冲波速度(PWV),该技术用于校准外围脉冲传输时间测量到动脉血压。该传感器架构由两个内联的光电电瓶传感器传感器组成,其中手表的形式是尺尺寸的脉冲波形的形式,并且沿着小指的基部测量来自数字动脉的脉冲波形的形式。将提出使用该算法校准PTT对人类受试者的BP的实验结果。

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