Abstract
This study experimentally investigates the relationships between central cardiovascular variables and oxygen uptake based on nonlinear analysis and modeling. Ten healthy subjects were studied using cycle-ergometry exercise tests with constant workloads ranging from 25 Watt to 125 Watt. Breath by breath gas exchange, heart rate, cardiac output, stroke volume and blood pressure were measured at each stage. The modeling results proved that the nonlinear modeling method (Support Vector Regression) outperforms traditional regression method (reducing Estimation Error between 59% and 80%, reducing Testing Error between 53% and 72%) and is the ideal approach in the modeling of physiological data, especially with small training data set.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Allor, K.M., Pivarnik, J.M., Sam, L.J., Perkins, C.D.: Treadmill Economy in Girls and Women Matched for Height and Weight. J. Appl. Physiol. 89, 512–516 (2000)
Astrand, P.O., Cuddy, T.E., Saltin, B., Stenberg, J.: Cardiac Output During Submaximal and Maximal Work. J. Appl. Physiol. 9, 268–274 (1964)
Fairbarn, M.S., Blackie, S.P., McElvaney, N.G., Wiggs, B.R., Pare, P.D., Pardy, R.L.: Prediction of Heart Rate and Oxygen Uptake during Incremental and Maximal Exercise in Healthy Adults. Chest 105, 1365–1369 (1994)
Freedman, M.E., Snider, G.L., Brostoff, P., Kimelblot, S., Katz, L.N.: Effects of Training on Response of Cardiac Output to Muscular Exercise in Athletes. J. Appl. Physiol. 8, 37–47 (1955)
Kobayashi, Y., Andoh, Y., Fujinami, T., Nakayama, K., Takada, K., Takeuchi, T., Okamoto, M.: Impedance Cardiography for Estimating Cardiac Output during Submaximal and Maximal Work. J. Appl. Physiol. 45, 459–462 (1978)
Reeves, J.T., Grover, R.F., Filley, G.F.: Cardiac Output Response to Standing and Treadmill Walking. J. Appl. Physiol. 16, 283–288 (1961)
Richard, R., Lonsdorfer-Wolf, E., Dufour, S., Doutreleau, S., Oswald- Mammosser, M., Billat, V.L., Lonsdorfer, J.: Cardiac Output and Oxygen Release during Intensity Exercise Performed until Exhaustion. Eur. J. Appl. Physiol. 93, 9–18 (2004)
Rowland, T., Popowski, B., Ferrone, L.: Cardiac Response to Maximal Upright Cycle Exercise in Healthy Boys and Men. Med. Sci. Sport Exer. 29, 1146–1151 (1997)
Turley, K.R., Wilmore, J.H.: Cardiovascular Responses to Treadmill and Cycle Ergometer Exercise in Children and Adults. J. Appl. Physiol. 83, 948–957 (1997)
Rowell, L.B.: Circulatory adjustments to dynamic exercise. In: Human Circulation Regulation during Physical Stress, pp. 213–256. Oxford University Press, New York (1986)
Beck, K.C., Randolph, L.N., Bailey, K.R.: Relationship between Cardiac Output and Oxygen Consumption during Upright Cycle Exercise in Healthy Humans. J. Appl. Physiol. 101, 1474–1480 (2006)
Guo, Y., Bartlett, P.L., Shawe-Taylor, J., Williamson, R.C.: Covering Numbers for Support Vector Machines. IEEE Transactions on Information Theory 48(1), 239–250 (2002)
Drucker, H., Burges, C., Kaufman, L., Smola, A., Vapnik, V.N.: Support Vector Regression Machines. In: Mozer, M., Jordan, M., Petsche, T. (eds.) Advances in Neural Information Procession Systems, Cambridge, MA, pp. 155–161 (1997)
Su, S.W., Wang, L., Celler, B.G., Savkin, A.V.: Oxygen Uptake Estimation in Humans during Exercise Using a Hammerstein Model. Ann. Biomed. Eng. 35(11), 1898–1906 (2007)
Su, S.W., Wang, L., Celler, B.G., Savkin, A.V., Guo, Y.: Identification and Control for Heart Rate Regulation during Treadmill Exercise. IEEE Transactions on Biomedical Engineering 54(7), 1238–1246 (2007)
Su, S.W., Wang, L., Celler, B., Savkin, A.V.: Estimation of Walking Energy Expenditure by Using Support Vector Regression. In: Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Shanghai, China, pp. 3526–3529 (2005)
Valerity, V.G., Supriya, B.G.: Volatility Forecasting from Multiscale and High-dimensional Market Data. Neurocomputing 55, 285–305 (2003)
Girosi, F.: An Equivalence between Sparse Approximation and Support Vector Machines. Neural Computation 20, 1455–1480 (1998)
Reeves, J.T., Grover, R.F., Filley, G.F., Blount Jr., S.G.: Circulatory Changes in Man during Mild Supine Exercise. J. Appl. Phsiol. 16, 279–282 (1961)
Knobloch, K., Lichtenberg, A., Winterhalter, M., Rossner, D., Pichlmaier, M., Philips, R.: Non-invasive Cardiac Output Determination by Two-dimensional Independent Doppler during and after Cardiac Surgery. Ann. Thorac. Surg. 80, 1479–1483 (2005)
Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, L., Su, S.W., Chan, G.S.H., Celler, B.G., Cheng, T.M., Savkin, A.V. (2008). Cardiovascular Response Identification Based on Nonlinear Support Vector Regression. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92219-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-540-92219-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92218-6
Online ISBN: 978-3-540-92219-3
eBook Packages: Computer ScienceComputer Science (R0)