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http://dx.doi.org/10.15207/JKCS.2019.10.8.053

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

Kim, Seon-Chil (Department of Biomedical Engineering, Keimyung University)
Cho, Sung-Hyoun (Department of Physical Therapy, Nambu University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.8, 2019 , pp. 53-58 More about this Journal
Abstract
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.
Keywords
Blood pressure; Photoplethysmography; Convergence; Pulse transit time; Pulse wave velocity;
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Times Cited By KSCI : 3  (Citation Analysis)
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