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http://dx.doi.org/10.5307/JBE.2008.33.6.438

A Study on Measurement of Blood Pressure by Partial Least Square Method  

Kim, Yong-Joo (LS Mtron LTD.)
Nam, Eun-Hye (Korea Food Research Institute)
Choi, Chang-Hyun (Dept. of Bio-Mechatronic Engineering, Sungkyunkwan University)
Kim, Jong-Deok (Dept. of Bio-Mechatronic Engineering, Sungkyunkwan University)
Publication Information
Journal of Biosystems Engineering / v.33, no.6, 2008 , pp. 438-445 More about this Journal
Abstract
The purpose of this study was to develop a measurement model based on PLS (Partial least square) method for blood pressures. Measurement system for blood pressure signals consisted of pressure sensor, va interface and embedded module. A mercury sphygmomanometer was connected with the measurement system through 3-way stopcock and used as reference of blood pressures. The blood pressure signals of 20 subjects were measured and tests were repeated 5 times per each subject. Total of 100 data were divided into a calibration set and a prediction set. The PLS models were developed to determine the systolic and the diastolic blood pressures. The PLS models were evaluated by the standard methods of the British Hypertension Society (BHS) protocol and the American Association for the Advancement of Medical Instrumentation (AAMI). The results of the PLS models were compared with those of MAA (maximum amplitude algorithm). The measured blood pressures with PLS method were highly correlated to those with a mercury sphygmomanometer in the systolic ($R^2=0.85$) and the diastolic blood pressure ($R^2=0.84$). The results showed that the PLS models were the effective tools for blood pressure measurements with high accuracy, and satisfied the standards of the BHS protocol and the AAMI.
Keywords
Blood pressure; Partial least square method; Maximum amplitude algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 WHO-ISO. 1999. 1999 World health organization-International society of hypertension guidelines for the management of hypertension. Journal of Hypertension 17(2):151-183
2 Yang, I. M. and Y. G. Choi. 1985. Hypertension and hypotension. Family Physician 6(6):23-25. (In Korean)
3 Ursino, M. and C. Cristalli. 1995. Mathematical modeling of noninvasive blood pressure estimation techniques - part II: Brachial Hemodynamics. Journal of Biomechanical Engineering 117(1):117-126   DOI   ScienceOn
4 Ursino, M. and C. Cristalli. 1996. A mathematical study of some biomechanical factors affecting the oscillometric blood pressure measurement. IEEE Transactions on Biomedical Engineering 43(8):761-778   DOI   ScienceOn
5 Lee, J. Y., J. K. Kim and G. Yoon. 2002. Digital envelope detector for blood pressure measurement using an oscillometric method. Journal of Medical Engineering & Technology 26(3):117-122   DOI
6 Lee, S. Y. 2003. Development of a High Performance Medical Blood Pressure Measurement System. Ajou University Master thesis. (In Korean)
7 Kim, J. M., C. H. Choi, B. K. Min and J. H. Kim. 1998. Development of prediction model for moisture and protein content of single kernel. Journal of the Korean Society for Agricultural Machinery 23(1):49-56. (In Korean)
8 Lee, J. S., Y. A. Roh, S. Y. Lee, J. E. Park and Y. K. Kim. 2001. An implementation of non-invasive blood pressure system using variable characteristic ratio. The Journal of the Korean Institute of Maritime Information and Communication Sciences 5(7):1263-1271. (In Korean)
9 Fox, Stuart Ira. 2006. Human Physiology. Mcgraw-Hill, Boston
10 Geddes, L. A. 1991. Handbook of blood pressure measurement. Humana, Clifton, NJ
11 Choi, C. H., Y. J. Kim, K. S. Kim and T. H. Choi. 2008. Development of measuring technique for somatic cell count in raw milk by spectroscopy. Journal of Biosystems Engineering 33(3):210-215. (In Korean)   과학기술학회마을   DOI   ScienceOn