Abstract
Abstract Commonly used blood pressure measurement devices have noticeable limitations in accuracy, measuring time, comfort or safety. To overcome these limitations, we developed and tested a surrogate-based, non-invasive blood pressure measurement method using an RGB-camera. Our proposed method employs the relation between the pulse transit time (PTT) and blood pressure. Two remote photoplethysmography (rPPG) signals at different distances from the heart are extracted to calculate the temporal delay of the pulse wave. In order to establish the correlation between the PTT values and the blood pressure, a regression model is trained and evaluated. Tests were performed with five subjects, where each subject was recorded fifteen times for 30 seconds. Since the physiological parameters of the cardiac system are different for each person, an individual calibration is required to obtain the systolic and diastolic blood pressure from the PTT values. The calibration results are limited by the small number of samples and the accuracy of the reference system. However, our results show a strong correlation between the PTT values and the blood pressure and we obtained a mean error of 0.18 +/- 5.50 mmHg for the diastolic blood pressure and 0.01 +/- 7.71 mmHg for the systolic pressure, respectively.
Highlights
Blood pressure is one of the most fundamental vital parameters for evaluating the health status of a person, stateof-the-art measurement methods have noticeable limitations
Our proposed method employs the relation between the pulse transit time (PTT) and the blood pressure, where one PPG signal is extracted from the forehead and the other one from the palm
To evaluate the performance of the proposed method, we compute a leave-one-out cross-validation for the 15 measurements per person, i.e. for each iteration of the crossvalidation the regression is performed on 14 recordings á 6 value pairs (84 data points in total) and the model is evaluated on the remaining 6 value pairs which belong to the same chair holding one hand next to the head with the palm facing the camera
Summary
Blood pressure is one of the most fundamental vital parameters for evaluating the health status of a person, stateof-the-art measurement methods have noticeable limitations. Cuff-based systems are uncomfortable for patients, provide. We developed and tested a PTT-based non-invasive blood pressure measurement method using an RGB-camera. Our proposed method employs the relation between the PTT and the blood pressure, where one PPG signal is extracted from the forehead and the other one from the palm. The correlation between the calculated PTT and the blood pressure is computed by a linear regression
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