Abstract
In this study, we investigate the feasibility of using the linear cross-correlation function (CCF) and nonlinear correlation dimension (CD) features of mean arterial blood pressure (MABP) and mean cerebral blood flow velocity (MCBFV) as a signature to classify diabetics with various degrees of autonomic neuropathy. 72 subjects were recruited. For each subject, continuous CBFV was measured using a Transcranial Doppler ultrasound, and continuous ABP recorded using a Finapres device in supine position. The CCFs and CDs of pre-filtered spontaneous MABP and MCBFV were computed. Twelve CCF features and one CD feature were extracted from three frequency ranges: very low frequency (VLF, 0.015-0.07Hz), low frequency (LF, 0.07-0.15 Hz), and high frequency (HF, 0.15-0.40Hz). The feature vectors are classified using a support vector machine (SVM) classifier; and a classification rate of 91.67% is obtained under the leave-one-out cross validation evaluation scheme. This very encouraging result indicates that the proposed linear and nonlinear features between MABP and MCBFV can be effective features to discriminate diabetic patients with autonomic neuropathy.
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References
Lassen, N.A.: Cerebral Blood Flow and Oxygen Consumption in Man. Physiological Reviews 39, 183–238 (1959)
Aaslid, R., Lindegaard, K.F., Sorteberg, W., Nornes, H.: Cerebral Autoregulation Dynamics in Humans. Stroke 20, 45–52 (1989)
Newell, D.W., Aaslid, R., Lam, A., Mayberg, T.S., Winn, H.R.: Comparison of Flow and Velocity During Dynamic Autoregulation Testing in Humans. Stroke 25, 793–797 (1994)
Panerai, R.B.: Assessment of Cerebral Pressure Autoregulation in Humans-A Review of Measurement Methods. Physiological Measurement 19, 305–338 (1998)
Tiecks, F.P., Lam, A.M., Aaslid, R., Newell, D.W.: Comparison of Static and Dynamic Cerebral Autoregulation Measurements. Stroke 26, 1014–1019 (1995)
van Beek, A.H., Claassen, J.A., Rikkert, M.G., Jansen, R.W.: Cerebral Autoregulation: An Overview of Current Concepts and Methodology with Special Focus on the Elderly. Journal of Cerebral Blood Flow & Metabolism 28, 1071–1085 (2008)
Diehl, R.R., Linden, D., Lücke, D., Berlit, P.: Spontaneous Blood Pressure Oscillations and Cerebral Autoregulation. Clinical Autonomic Research 8, 7–12 (1998)
Zhang, R., Zuckerman, J.H., Giller, C.A., Levine, B.D.: Transfer Function Analysis of Dynamic Cerebral Autoregulation in Humans. American Journal of Physiology 274, H233–H241 (1998)
Blaber, A.P., Bondar, R.L., Stein, F., Dunphy, P.T., Moradshahi, P., Kassam, M.S., Freeman, R.: Transfer Function Analysis of Cerebral Autoregulation Dynamics in Autonomic Failure Patients. Stroke 28, 1686–1692 (1997)
Kuo, T.B.J., Chern, C.M., Sheng, W.Y., Wong, W.J., Hu, H.H.: Frequency Domain Analysis of Cerebral Blood Flow Velocity and Its Correlation with Arterial Blood Pressure. Journal of Cerebral Blood Flow and Metabolism 18, 311–318 (1998)
Chern, C.M., Kuo, T.B., Sheng, W.Y., Wong, W.J., Luk, Y.O., Hsu, L.C., Hu, H.H.: Spectral Analysis of Arterial Blood Pressure and Cerebral Blood Flow Velocity During Supine Rest and Orthostasis. Journal of Cerebral Blood Flow & Metabolism 19, 1136–1141 (1999)
Panerai, R.B., Simpson, D.M., Deverson, S.T., Mathony, P., Hayes, P., Evans, D.H.: Multivariate Dynamic Analysis of Cerebral Blood Flow Regulation in Humans. IEEE Transactions on Biomedical Engineering 47, 419–423 (2000)
Panerai, R.B., Kelsall, A.W.R., Rennie, J.M., Evans, D.H.: Analysis of Cerebral Blood Flow Autoregulation in Neonates. IEEE Transactions on Biomedical Engineering 43, 779–788 (1996)
Steinmeier, R., Bauhuf, C., Hübner, U., Bauer, R.D., Fahlbusch, R., Laumer, R., Bondar, I.: Slow Rhythmic Oscillations of Blood Pressure, Intracranial Pressure, Microcirculation, and Cerebral Oxygenation. Stroke 27, 2236–2243 (1996)
Chiu, C.C., Yeh, S.J.: Assessment of Cerebral Autoregulation Using Time-Domain Cross-Correlation Analysis. Computers in Biology & Medicine 31, 471–480 (2001)
Chiu, C.C., Yeh, S.J., Liau, B.Y.: Assessment of Cerebral Autoregulation Dynamics in Diabetics Using Time-Domain Cross-Correlation Analysis. Journal of Medical and Biological Engineering 25, 53–59 (2005)
Chiu, C.C., Hu, Y.H., Yeh, S.J., Chou, D.Y.: Classification of Dynamic Cerebral Autoregulation in Diabetics with Autonomic Neuropathy Using Support Vector Machine. In: Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP 2009), vol. 1, pp. 353–358 (2009)
Low, P.: Autonomic Nervous System Function. Journal of Clinical Neurophysiology 10, 14–27 (1993)
Low, P.: Composite Autonomic Scoring Scale for Laboratory Quantification of Generalized Autonomic Failure. Mayo Clinic Proceedings 68, 748–752 (1993)
Chiu, C.C., Yeh, S.J., Lin, R.C.: Data Acquisition and Validation Analysis for Finapres Signals. Chinese Journal of Medical and Biological Engineering 15, 47–58 (1995)
Grassberger, P., Procaccia, I.: Measuring the Strangeness of Strange Attractors. Physica D 9, 189–208 (1983)
Cortes, C., Vapnik, V.: Support-Vector Network. Machine Learning 20, 273–297 (1995)
Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines, Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
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Chiu, CC., Yeh, SJ., Li, TY. (2010). Classification of Diabetics with Various Degrees of Autonomic Neuropathy Based on Linear and Nonlinear Features Using Support Vector Machine. In: Zhang, D., Sonka, M. (eds) Medical Biometrics. ICMB 2010. Lecture Notes in Computer Science, vol 6165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13923-9_5
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DOI: https://doi.org/10.1007/978-3-642-13923-9_5
Publisher Name: Springer, Berlin, Heidelberg
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