Applying Similarity Theory and Hilbert Huang Transform for Estimating the Differences of Pig-s Blood Pressure Signals between Situations of Intestinal Artery Blocking and Unblocking
A mammal-s body can be seen as a blood vessel with
complex tunnels. When heart pumps blood periodically, blood runs
through blood vessels and rebounds from walls of blood vessels.
Blood pressure signals can be measured with complex but periodic
patterns. When an artery is clamped during a surgical operation, the
spectrum of blood pressure signals will be different from that of
normal situation. In this investigation, intestinal artery clamping
operations were conducted to a pig for simulating the situation of
intestinal blocking during a surgical operation. Similarity theory is a
convenient and easy tool to prove that patterns of blood pressure
signals of intestinal artery blocking and unblocking are surely
different. And, the algorithm of Hilbert Huang Transform can be
applied to extract the character parameters of blood pressure pattern.
In conclusion, the patterns of blood pressure signals of two different
situations, intestinal artery blocking and unblocking, can be
distinguished by these character parameters defined in this paper.
[1] C.M. Marris, "The Fourier analysis of biological transients", Journal of
Neuroscience method, 83(1998), pp. 15-34.
[2] L. Keselbrener, S. Akselrod, "Time- frequency analysis of transient
signals - application to cardiovascular control", Physica A
249(1998),pp. 482-490.
[3] G.O. Young, "Synthetic structure of industrial plastics (Book style with
paper title and editor)," in Plastics, 2nd ed. Vol. 3, J. Peters, Ed. New
York: McGraw-Hill, 1964, pp.15-64.
[4] W. K. Chen, "Linear Networks and Systems (Book style)," Belmont,
CA: Wadsworth, 1993, ch. 4.
[5] N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C.
Yen, C.C. Tung , H.H. Liu," The empirical mode decomposition and the
Hilbert spectrum for nonlinear and non-stationary time series analysis,"
Proc. R. Soc. Lond. A (1998) 454, pp. 903-995.
[6] Y.X. Hu, S.C. Liu, and W. Dong, "Earthquake engineering," London:
Chapman & Hall, 1996.
[7] N.E. Huang, S.R. Long, " An experimental study of surface elevation
probability distribution and statistics of wind generated waves", J. Fluid
Mech. 101, pp. 179-200, 1980.
[8] W. Huang, Z. Shen, N.E. Huang, Y.C. Fung," Engineering analysis of
biological variables: An example of blood pressure over 1 day," Proc.
Natl. Acad. Sci. USA vol. 95 April 1998, pp. 4816-4821.
[9] A.C.C. Yang, S.S. Hseu, H.W. Yien, A. L. Goldberger, C.K. Peng, "
Linguistic analysis of the human heartbeat using frequency and rank
order statistics", Physical review letters vol.90 no. 10, 14 March 2003,
108103.
[10] B.Boashash, "Estimating and interpreting the instantaneous frequency of
a signal," Fundamental. Proc. IEEE 80, pp.520-538, 1992.
[11] L. Cohen, "Time-frequency analysis", Eaglewood Cliffs, NJ:
Prentice-Hall, 1995.
[12] E.C. Titchmarsh, "Introduction to the theory of Fourier integrals,"
Oxford University Press 1948.
[1] C.M. Marris, "The Fourier analysis of biological transients", Journal of
Neuroscience method, 83(1998), pp. 15-34.
[2] L. Keselbrener, S. Akselrod, "Time- frequency analysis of transient
signals - application to cardiovascular control", Physica A
249(1998),pp. 482-490.
[3] G.O. Young, "Synthetic structure of industrial plastics (Book style with
paper title and editor)," in Plastics, 2nd ed. Vol. 3, J. Peters, Ed. New
York: McGraw-Hill, 1964, pp.15-64.
[4] W. K. Chen, "Linear Networks and Systems (Book style)," Belmont,
CA: Wadsworth, 1993, ch. 4.
[5] N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C.
Yen, C.C. Tung , H.H. Liu," The empirical mode decomposition and the
Hilbert spectrum for nonlinear and non-stationary time series analysis,"
Proc. R. Soc. Lond. A (1998) 454, pp. 903-995.
[6] Y.X. Hu, S.C. Liu, and W. Dong, "Earthquake engineering," London:
Chapman & Hall, 1996.
[7] N.E. Huang, S.R. Long, " An experimental study of surface elevation
probability distribution and statistics of wind generated waves", J. Fluid
Mech. 101, pp. 179-200, 1980.
[8] W. Huang, Z. Shen, N.E. Huang, Y.C. Fung," Engineering analysis of
biological variables: An example of blood pressure over 1 day," Proc.
Natl. Acad. Sci. USA vol. 95 April 1998, pp. 4816-4821.
[9] A.C.C. Yang, S.S. Hseu, H.W. Yien, A. L. Goldberger, C.K. Peng, "
Linguistic analysis of the human heartbeat using frequency and rank
order statistics", Physical review letters vol.90 no. 10, 14 March 2003,
108103.
[10] B.Boashash, "Estimating and interpreting the instantaneous frequency of
a signal," Fundamental. Proc. IEEE 80, pp.520-538, 1992.
[11] L. Cohen, "Time-frequency analysis", Eaglewood Cliffs, NJ:
Prentice-Hall, 1995.
[12] E.C. Titchmarsh, "Introduction to the theory of Fourier integrals,"
Oxford University Press 1948.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:60937", author = "Jia-Rong Yeh and Tzu-Yu Lin and Jiann-Shing Shieh and Yun Chen", title = "Applying Similarity Theory and Hilbert Huang Transform for Estimating the Differences of Pig-s Blood Pressure Signals between Situations of Intestinal Artery Blocking and Unblocking", abstract = "A mammal-s body can be seen as a blood vessel with
complex tunnels. When heart pumps blood periodically, blood runs
through blood vessels and rebounds from walls of blood vessels.
Blood pressure signals can be measured with complex but periodic
patterns. When an artery is clamped during a surgical operation, the
spectrum of blood pressure signals will be different from that of
normal situation. In this investigation, intestinal artery clamping
operations were conducted to a pig for simulating the situation of
intestinal blocking during a surgical operation. Similarity theory is a
convenient and easy tool to prove that patterns of blood pressure
signals of intestinal artery blocking and unblocking are surely
different. And, the algorithm of Hilbert Huang Transform can be
applied to extract the character parameters of blood pressure pattern.
In conclusion, the patterns of blood pressure signals of two different
situations, intestinal artery blocking and unblocking, can be
distinguished by these character parameters defined in this paper.", keywords = "Blood pressure, spectrum, intestinal artery, similarity
theory and Hilbert Huang Transform.", volume = "1", number = "9", pages = "522-6", }