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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Li, R.; Gammie, A.; Zhu, Q.; Nibouche, M.; Kiely, J. (2015)
Publisher: IEEE Xplore
Languages: English
Types: Unknown
In the first stage studies, this paper proposes a new piecewise linear discrete time dynamic model for describing global urine flow rate profiles against time sequence. The establishment of model has been guided by physician meaningful principles and measured data. To obtain the model parameters from measured data sequence, a number of existing approaches have been tailored/integrated including least squares algorithm for model time constant and gain estimation, Butterworth filter with specified cut off frequencies, for reducing noise effect induced by abdominal and bladder squeezing, then to facilitate counting the number of peaks. A few of real case studies are selected to demonstrate the effectiveness and efficiency of the proposed procedure.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Hosein, R.A. and Griffiths, D.J., (1990) Computer simulation of the neural control of bladder and urethra, Neurourol Urodyn, Vol. 9, No. 6, 601-618, 1990.
    • [2] Bastiaanssen. E.H., van Leeuwen, J.L., Vanderschoot, J. and Redert, P.A., A myocybernetic model of the lower urinary tract, J Theor Biol, Vol. 178, No. 6, 113-133. 1996.
    • [3] Hbener, U. and van Mastrigt, R., Computer simulation of micturition, Urodinamica, Vol. 4, No. 6, 81-90, 1994.
    • [4] van Duin, F., Rosier, P.F., Rijkhoff. N.J., van Kerrebroek, P.E., Debruyne, F.M. and Wijkstra, H., A computer model of the neural control of the lower urinary tract, Neurourol Urodyn, Vol. 17, No. 3, 175-196, 1998.
    • [5] Verdini, L., Biscotto, S., Costantini, E., Mearini, E. and Verdini, L., Perugia urodynamic method of analysis (PUMA): a new advanced method of urodynamic analysis applied clinically and compared with other advanced methods, Neurourol Urodyn, Vol. 22, No. 6, 206-222, 2003.
    • [6] Valentini, F.A., Besson, G.R., Nelson, P.P. and Zimmern, P.E., Clinically Relevant Modeling of Urodynamics Function: The VBN Model, Neurourology and Urodynamics, Vol. 33, No. 3, 51-57, 2013.
    • [7] Valentini, F.A., Besson, G.R., Nelson, P.P. and Zimmern, P.E., A mathematical micturition model to restore simple flow recordings in healthy and symptomatic individuals and enhance uroflow interpretation, Neurourol Urodyn, Vol. 19, No. 2, 153-176, 2000.
    • [8] Valentini, F.A., Zimmern, P.P., Besson, G.R. and Nelson, P.P., Modelized analysis of pressure flow studies of patients with lower urinary tract symptoms (LUTS) due to benign prostatic enlargement (BPE), Neurourol Urodyn, Vol. 22, No. 1, 45-53, 2003.
    • [9] Rollema, H. and Mastrigt, R., Objective analysis of prostatism: A clinical application of the computer program CLIM, Neurourology and Urodynamics, Vol. 10, No. 1, 71- 76, 1991.
    • [10] Soderstrom, T. and Stoica, P., System identification (1st ed.), Prentice Hall International, Hemel Hempstead, UK, 1989.
    • [11] Ogata, K., Modern control engineering (4th ed.), Prentice Hall International, London, UK, 2002.
    • [12] Gammie, A., Clarkson, B., Constantinou, C., Damaser, M., Drinnan, M., Geleijnse, G., Griffiths, D., Rosier, P., Schäfer, W., van Mastrigt, R. and International Continence Society Urodynamic Equipment Working Group, International Continence Society guidelines on urodynamic equipment performance, Neurourology and Urodynamics, Vol. 33, No. 4, 370-379, 2014.
    • [13] Laghari, W.M., Baloch, M.U., Mengal, M.A. and Shah, S.J., Performance Analysis of Analog Butterworth Low Pass Filter as Compared to Chebyshev Type-I Filter, Chebyshev Type-II Filter and Elliptical Filter, Circuits and Systems, Vol. 5, 209-216, 2014.
    • [14] Williams, A.B., Electronic filter design handbook (4th ed.), McGraw-Hill, New York, London, 2006.
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