한국융합학회논문지 (Journal of the Korea Convergence Society)

  • 제10권2호
  • /
  • Pages.67-73
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  • 2019
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  • 2233-4890(pISSN)
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  • 2713-6353(eISSN)
한국융합학회 (Korea Convergence Society)
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광전용적맥파 융합 알고리즘 보정을 위한 혈압 영향인자 상관관계 분석

Analysis of Blood pressure influence factor Correction for Photoplethysmography Fusion Algorithm Calibration

  • 김선칠 (계명대학교 의용공학과)
  • Kim, Seon-Chil (Division of Biomedical Engineering, Keimyung University)
  • 투고 : 2018.12.19
  • 심사 : 2019.02.20
  • 발행 : 2019.02.28
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초록

혈압측정은 오랜 시간동안 외부압력을 이용하여 혈관 압력 대응값으로 계산해왔다. 최근 측정 장비의 소형화와 의료네트워크 기술의 발전으로 개인 건강관리시스템의 활성화로 인해 간단한 센서로 혈압을 연속적이며 실시간 측정이 가능한 환경을 요구하고 있다. 본 연구에서는 광전용적맥파를 적용하고 맥파전달시간을 이용하여 혈압을 추정하고자 한다. 기존 방식은 신체 변수값 등으로 개인 오차를 줄여 측정하는 알고리즘을 사용하고 있으나, 광전용적맥파의 분석과 맥파전달시간의 적용방법에 따라 정확도가 떨어진다. 본 연구에서는 기존 수축기 혈압을 이용하여 혈압을 유추하는 융합적인 방법을 선택하여 적용하였다. 그리고 광전용적맥파 자체로만 혈압 추정이 가능하게 구성하여 초소형 혈압측정시스템을 만드는데 필요한 융합알고리즘을 제공하고자 하였다. 그 결과 수축기혈압과 광전용적맥파의 최대, 최소 주기간격을 이용하여 혈압추정 융합 알고리즘의 가능성을 상관관계로 분석하였다.

The blood pressure measurement is calculated as a value corresponding to the pressure of the blood vessel using the pressure from the outside for a long time. Due to the recent miniaturization of measurement equipment and the ICT combination of personal healthcare systems, a system that enables continuous and real-time measurement of blood pressure with a sensor is required. In this study, blood pressure was measured using pulse transit time using Photoplethysmography. In this study, blood pressure was estimated by using systolic blood pressure. And it is possible to make measurement only with PPG itself, which can contribute to making a micro blood pressure measuring device. As a result, systolic blood pressure and PPG's S1-P and P-S2 were used to analyze the possibility of blood pressure estimation.

키워드

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Fig. 1. Characteristics of PPG waveform

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Fig. 2. PPG Measurement circuit

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Fig. 3. PPG Measurement method

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Fig. 4. PPG Measurement display

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Fig. 5. Associations of PTT with SBP, S1-P, P-S2

Table 1. Results of PTT measurement

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Table 2. Results of PTT Analysis

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Table 3. Associations of PTT with SBP, S1-P, P-S2 by multiple linear regression analyses

OHHGBW_2019_v10n2_67_t0003.png 이미지

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