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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
Subjects:
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!

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