Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Estimating blood pressure using the pulse transit time of the two measuring from pressure pulse and PPG

  • Kim, Gi-Ryon (PhysioLab Co. Ltd) ;
  • Ye, Soo-Young (BK21 Medical Science Education Center, College of Medicine, Pusan National University) ;
  • Kim, Jae-Hyung (School of Computer Aided Science, Inje University) ;
  • Jeon, Gye-Rok (Department of Biomedical Engineering, College of Medicine, Pusan National University)
  • 김기련 ((주) 피지오랩) ;
  • 예수영 (부산대학교 의학전문 대학원 BK21 고급의료인력양성 사업단) ;
  • 김재형 (인제대학교 컴퓨터응용과학부) ;
  • 전계록 (부산대학교 의과대학)
  • Published : 2008.03.31
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Abstract

Blood pressure (BP), one of the most important vital signs, is used to identify an emergency state and reflects the blood flow characteristics of the cardiovascular system. The conventional noninvasive method of measuring BP is inconvenient because patients must wear a cuff on their arm and the measurement process takes time. This paper proposes an algorithm for estimating the BP using the pulse transit time (PTT) of the photoplethysmography (PPG) and pressure pulse from finger at the same time as a more convenient way to measure the BP. After recording the electrocardiogram (ECG), measuring the pressure pulse, and performing PPG, we calculated the PTT from the acquired signals. Then, we used a multiple regression analysis to measure the systolic and diastolic BP indirectly. Comparing the BP measured indirectly using the proposed algorithm and the real BP measured with a sphygmomanometer, the systolic pressure had a mean error of ${\pm}3.240$ mmHg and a standard deviation of 2.530 mmHg, while the diastolic pressure had a satisfactory result, i.e., a mean error of ${\pm}1.807$ mmHg and a standard deviation of 1.396 mmHg. These results are more superior than existing method estimating blood pressure using the one PTT and satisfy the ANSI/AAMI regulations for certifying a sphygmomanometer i.e., the measurement error should be within a mean error of ${\pm}5$ mmHg and a standard deviation of 8 mmHg. These results suggest the possibility of applying our method to a portable, long-term BP monitoring system.

Keywords

References

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