Affiliation:
1. Bialystok University of Technology
Abstract
In the paper numerical algorithms used in the automatic diagnosis of prostatic
hypertrophy are presented. The liquid flow during urination was applied as a signal that describes
the condition of prostate. In order to register the signal, the uroflowmeter was used. Patients were
included in a two-step procedure. In the first step, an analysis of signal characteristics, such as
maximum and the mean value with the use of Liverpool Nomogram, were performed. Then, the
signal was tested for the presence of oscillation. For this purpose, an algorithm that generates the
reference signal was created. Moreover, the similarity waveform was investigated with the help
of the integral index. The diversity of signals indicated the presence of anomalies and had an
impact on the final classification of the patient.