臉部影像血壓計

Abstract

在臨床上，侵入式血壓量測可提供連續血壓訊號，但方便性卻很低。非侵入式血壓量測方便性提高許多。本研究研發創新血壓量測方式，並將血壓演算法實作於智慧型手機，利用手機高畫質錄影功能，即時得知波形，利用波形與血壓的關係寫出演算法。 本研究的系統架構是以 HTC手機錄影人臉影像，利用MATLAB進行演算法分析；演算法主要對量測到的波形進行參數提取，進而推導心跳、收縮壓與舒張壓；進一步寫成 JAVA 語言並且利用Eclipse的軟體寫入 Android 手機裡進行實際模擬，目前已經上傳至 GooglePlay 提供APP下載。

In the clinical study, the invasive measurement of the blood pressure can provide signal which is continuous. However, it’s much more inconvenient than the non-invasive one. Due to this reason, this study develops a novel approach and algorithm to measure blood pressure and operate on the smart phone. Using the HD recording function on the smart phone, the wavelength could be detected instantaneously, and the algorithm could be written based on its relationship with blood pressure. In this paper, the approach can be applied to color video recordings of the human face using the HTC smart phone. Post analysis of the video recordings were done using software written in Matlab. The heart rate , systolic and diastolic are derived from the method for measuring multiple physiological parameter. In addition, it is then written into JAVA scripts and transferred into Android phones via the Eclipse program for realistic simulation. It is currently uploaded onto GooglePlay for application download.