Data processing in pulse transit time measurement

PuLse transit time(FIT)is used as a noninvasive and cull-less parameter to estimate blood pressure.In this paper,we develop an algorithm to obtain FTT rapidly,which is appropriate for micro-processor and could achieve good accuracy in PTT,even in noisy measurements.The algorithm is based on finite impulse response(FIR)filter to reduce the noise and an adaptive threshold to detect the significant points of ECG and PPG.Evaluation of this method is based on the signals from our PTr-based blood pressure devices.It is shown that the method works well for PPT calculation.

Pulse transit time （PTT） is used as a noninvasive and cuff-less parameter to estimate blood pressure. In this paper, we develop an algorithm to obtain PTT rapidly, which is appropriate for micro-processor and could achieve good accuracy in PTT, even in noisy measurements. The algorithm is based on finite impulse response （FIR） filter to reduce the noise and an adaptive threshold to detect the significant points of ECG and PPG. Evaluation of this method is based on the signals from our PTT-based blood pressure devices. It is shown that the method works well for PPT calculation.