The aim of this work is to present an application of the Dynamic Time Warping (DTW) method for the preliminary classification of data obtained during uroflowmetric tests. This enables determining whether the recorded data from the urine flow speed measurements is accurate or not. Example urine flow characteristics obtained from a uroflowmeter based on a strain gauge transducer were used in the research. The analysis of the algorithm performance was done on the basis of real tests results of patients with the risk of the prostate hyperplasia occurrence. Moreover, the results of example experiments are presented in this paper.

Keywords: uroflowmeter, uroflowmetry, urine flow, dynamic time warping