주기별 맥동파형의 절흔점 위치변화 특성을 이용한 혈압 추정
Estimation of the Blood Pressure Using Point Variation Aspect of Dicrotic Notch on Pulsating Waveform at Each Cardiac Periods
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In the study, novel blood pressure estimation method was proposed to improve the accuracy of oscillometric method. The proposed algorithm estimated the blood pressure by comparing and analyzing the point variation aspect of dicrotic notch on pulsating waveform during each cardiac cycle. The waveforms of each cardiac cycle were extracted by maximum points. The extracted pulsating waveforms were applied by re-sampling, end-matching, and normalization. The systolic and diastolic blood pressures were estimated by point variation aspect of dicrotic notch. The blood pressures, which were estimated from proposed algorithm, were compared and analyzed by blood pressures from oscillometric methods and auscultation. The systolic blood pressure from oscillometric methods were +0.88 mmHg more than proposed algorithm, and 1.875 less than the diastolic blood pressures from proposed algorithm. The systolic and diastolic blood pressures from auscultation were 2.89 mmHg and 3.44 mmHg less than the blood pressures from proposed algorithm. As the errors between blood pressures from proposed algorithm, oscillometric method and auscultation were less than 5 mmHg, the proposed algorithm was effective.
Abstract
In the study, novel blood pressure estimation method was proposed to improve the accuracy of oscillometric method. The proposed algorithm estimated the blood pressure by comparing and analyzing the point variation aspect of dicrotic notch on pulsating waveform during each cardiac cycle. The waveforms of each cardiac cycle were extracted by maximum points. The extracted pulsating waveforms were applied by re-sampling, end-matching, and normalization. The systolic and diastolic blood pressures were estimated by point variation aspect of dicrotic notch. The blood pressures, which were estimated from proposed algorithm, were compared and analyzed by blood pressures from oscillometric methods and auscultation. The systolic blood pressure from oscillometric methods were +0.88 mmHg more than proposed algorithm, and 1.875 less than the diastolic blood pressures from proposed algorithm. The systolic and diastolic blood pressures from auscultation were 2.89 mmHg and 3.44 mmHg less than the blood pressures from proposed algorithm. As the errors between blood pressures from proposed algorithm, oscillometric method and auscultation were less than 5 mmHg, the proposed algorithm was effective.
참고문헌 (13)
- A. C. Guyton, "Textbook of Medical Physiology", pp.168~268 (2000), W.B. Saunders Company
- G. R. Jeon, "Understanding of sphygmonometer", J. Control, Robotcs, and Systems, 12(2), pp.43~53 (2006)
- G. E. King, "Blood Pressure Measurement", Encyclopedia of Medical Devices and Instrumentation, 1, pp.467~482 (1998)
- G. Drzewiecki, "Theory of the oscillometric maximum and the systolic and diastolic detection ratio", Ann. Biomed. Eng, 22, pp.88~96 (1994)
- M. Ramsey, "Noninvasive automatic determination of mean arterial pressure", Med. Biol. Eng. Comput, 17(1), pp.17~18 (1979)
- D. Y. Yu, "A novel method for Korotkoff vibration blood pressure measurement based on oscillomteric", International Conference on Intelligent Computation Technology and Automation (2010)
- J. M. Shon, "Implementation and estimation of the blood pressure measuring system using oscillometric method", 석사, pp.2004
- S. H. Yoon, "The effect of high-pass filter on characteristic ratio in oscillometric method", Proc. Biomedical Engr (2006)
- W. S. Ahn, "Mean arterial blood pressure estimation and it's limitation", Can. J. Anaesth, 52, pp.1001~1002 (2005)
- T. G. Pickering, "Recommendations for blood pressure measurement in humans and experimental animals", J. Circulation, 111, pp.697~716 (2005)
- S. Y. Ye, "Parameter extraction of anesthetic depth analysis using the HRV signal", 박사, pp.2004
- S. M. Park, "Blood pressure estimation using change in pulse waveform characteristics", 석사, pp.2011
- G. R. Jeon, "A simulation for estimation of the blood pressure using arterial pressure-volume model", International Journal of Biological and Life Sciences, 4(1), pp.55~60 (2008)