Analysis of the Convergence Algorithm Model for Estimating Systolic and Diastolic Blood Pressure Based on Two Photoplethysmography

두 개의 광전용적맥파 기반의 수축기 혈압과 이완기 혈압 추정 융합 알고리즘 모델 분석

  • Kim, Seon-Chil (Department of Biomedical Engineering, Keimyung University) ;
  • Cho, Sung-Hyoun (Department of Physical Therapy, Nambu University)
  • 김선칠 (계명대학교 의용공학과) ;
  • 조성현 (남부대학교 물리치료학과)
  • Received : 2019.06.05
  • Accepted : 2019.08.20
  • Published : 2019.08.28


Recently, product research has been continuously conducted to enhance accessibility to blood pressure measurement for the purpose of healthcare for the chronic patient. In previous studies, electrocardiogram (ECG) and photoelectric pulse wave (PPG) are analyzed to calculate systolic and diastolic blood pressure. The problem is the development of analysis algorithms for accuracy and reproducibility. In this study, in the development stage of a micro blood pressure measuring device, the size of the device was reduced and the measurement method was simplified, while the algorithm was to extract systolic blood pressure (SBP) using only two PPGs and obtain diastolic blood pressure (DBP). The difference value of PPG, DF_P, is inversely related to SBP, and has a proportional relationship with DBP, which can be leaked by algorithm, and DBP can be tracked through SBP.


Blood pressure;Photoplethysmography;Convergence;Pulse transit time;Pulse wave velocity


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