A complete set-up to evaluate the correlation between blood pressure and pulse transit time
Blood pressure (BP) has always been one of the most important parameters in monitoring cardiovascular system conditions and coronary artery diseases (CAD), such as angina and myocardial infarction (commonly known as a heart attack). This is due to the fact that many of the changes within the cardiovascular system, such as clogged arteries, for example, are reflected by changes in BP. A number of methods and devices that can measure BP are available on the market for both clinical and consumer use. However, being able to measure one’s own BP non-invasively, with the required frequency (even continuously) in a comfortable fashion remains an unsolved problem using currently available systems. To date, the Pulse Transit Time (PTT) measurement method has been seen as a feasible approach to help bring current blood pressure monitoring systems to a stage where non-invasive, continuous measurements are viable. However, developing a system which uses the PTT method for blood pressure measurement is as yet an unsolved problem and it remains a challenge to achieve accurate BP results despite considerable research in the past decade. In this paper, we present the first step in building a smart sensing system that overcomes the technical difficulties associated with accurate measurement of PTT. The novel hardware developed incorporates multi-modal sensing capability to explore and quantify the relationship between blood pressure and PTT. The evaluation system is completed by efficient, simple and fast embedded software algorithms, user interface, and clinical validation trials that will enable delivering a novel PTT-based blood pressure monitor.
Blood pressure , Pulse transit time , ECG , PPG , Calibration , Real time data , Clinical trials
Hajzeraj, A., Belcastro, M., Alfieri, D. and O'Flynn, B. (2018) 'A complete set-up to evaluate the correlation between blood pressure and pulse transit time', International Journal on Advances in Life Sciences, 10 (1&2), pp. 65-74. http://www.iariajournals.org/life_sciences/
© 2018 the authors.