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A Study on the Estimation of Continuous Blood Pressure using PTT and Biometric Parameters

김선일|이종연|김인영|황환식|이종실|박훈기|조백환|박은경|박상해
대한의용생체공학회 (The Korea Society Of Medical & Biological Engineering)|2006.02|의공학회지 (Journal of biomedical Engineering Research)|제27권 제1호|pp. 1-5

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참고문헌

키워드

blood pressurecontinuouspulse transit timenoninvasivecuffless

초록

In this paper, we propose a subject-independent regression model to estimate systolic blood pressures (SBP) conveniently and continuously. There have been several researches on estimating SBP with pulse transit time (PTT) and they showed promising results. However, previous studies used only PTT as the estimation parameter, and their models were generated with just one person’s PTT data which is not applicable to estimating other person’s SBP. Therefore, we collected several additional biometric parameters with 202 healthy subjects. After statistical analysis of measured biometric parameters with SBP, we chose final estimating parameters including PTT to generate a multiple linear regression model for estimating SBP. Comparing the results of our study with approvable standards of automated sphygmomanometers developed by Association for the Advancement of Medical Instrumentation and approved by American National Standards Institute (ANSI/AAMI) indicates that our proposed method for continuously blood pressures monitoring gives an acceptable error.

Abstract

In this paper, we propose a subject-independent regression model to estimate systolic blood pressures (SBP) conveniently and continuously. There have been several researches on estimating SBP with pulse transit time (PTT) and they showed promising results. However, previous studies used only PTT as the estimation parameter, and their models were generated with just one person’s PTT data which is not applicable to estimating other person’s SBP. Therefore, we collected several additional biometric parameters with 202 healthy subjects. After statistical analysis of measured biometric parameters with SBP, we chose final estimating parameters including PTT to generate a multiple linear regression model for estimating SBP. Comparing the results of our study with approvable standards of automated sphygmomanometers developed by Association for the Advancement of Medical Instrumentation and approved by American National Standards Institute (ANSI/AAMI) indicates that our proposed method for continuously blood pressures monitoring gives an acceptable error.

참고문헌 (18)

  1. "Medical Instrument: Application and decision", pp.287~331 (1998), WILEY
  2. "Introduction to Biomedical Equipment Technology", pp.234~304 (2001), Prentice Hall
  3. "Pulse transit time as an indicator of Arterial Blood Pressure", 18, pp.71~75 (1981)
  4. "The rela- tionship between arterial blood pressure and pulse transit time during dynamic and static exercise", 21, pp.521~527 (1984)
  5. "Non-invasive blood pressure data acquisition employing pulse transit time detection", 3, pp.1308~1309 (1996)
  6. "Continuous blood pressure monitoring using pulse wave delay", 4, pp.3171~3174 (2001)
  7. "Aortic-radial pulse transit time and ECG Q-wave to radial pulse wave interval as indices of beat by beat blood pressure change", 20, pp.21~28 (1983)
  8. "A Clinical evaluation of continuous noninvasive blood pressure monitoring: Accuracy and tracking capability", 11, pp.245~252 (1995)
  9. "The velocity of the pulse wave in man", pp.298~306 (1922), Proceedings of the Royal Society
  10. "A Study on Estimation of Systolic Blood Pressure using PTT", 25(6), pp.431~438 (2004)
  11. "Effects of peripheral vasoconstriction on the measurement of blood pressure in a finger", 19, pp.139~145 (1985)
  12. "Effect of peripheral vasoconstriction on the beat-to-beat measurement of finger blood pressure" (2000)
  13. "Influence of height, leg and trunk length on pulse pressure, systolic and diastolic blood pressure", (21), pp.527~543 (2003)
  14. "Age effects upon the harmonic structure of human blood pressure in clinical health", pp.238~243 (1989), Minneapolis
  15. "Pulse Transit Time and Blood Pressure: An Intensive Analysis", 20(1), pp.45~49 (1983)
  16. "Multivariate Analysis by Korean SPSS 10.0" (2003), Hyung- Seol Press
  17. "Medical Statistical Analysis" (2002), SPSS Aca- demy
  18. "Manual, electronic, or automated sphygmo-manometers" (2003), Association for the Advancement of Medical Instru- mentation

관련 논문AI추천

Estimating blood pressure using the pulse transit time of the two measuring from pressure pulse and PPG김기련, 김재형, 예수영, 전계록, 정동근한국센서학회 · 센서학회지2008 · 제17권 제2호PTT를 이용한 수축기 혈압의 측정에 관한 연구권세윤, 김선일, 김인영, 박은경, 이상민, 이종연, 한영호대한의용생체공학회 · 의공학회지2004 · 제25권 제6호ECG와 PPG를 이용한 실시간 연속 혈압 측정 시스템김종화, 남기창, 황민철한국감성과학회 · 감성과학2008 · 제11권 제2호Radial Electrical Impedance: A Potential Indicator for Noninvasive Cuffless Blood Pressure Measurement정완영, Toan Huu Huynh한국센서학회 · 센서학회지2017 · 제26권 제4호Development of a Wearable Pulse Transit Time Monitoring Device강구태, 김광년, 김기련, 노정훈, 예수영, 전계록, 정동근, 하정서대한의료정보학회 · Healthcare Informatics Research2008 · 제14권 제3호주기별 맥동파형의 절흔점 위치변화 특성을 이용한 혈압 추정박근철, 박성민, 백승완, 손정만, 이상훈, 장우영, 전계록, 전아영한국센서학회 · 센서학회지2013 · 제22권 제2호

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