The classification and pattern recognition quasi-periodic biosignals analysis set of methods for
solving medical diagnostics problems are described. It was implemented as a hardware-software
complex (HSC), producing, encoding, recording in the database, visualization and mining in
real-time of the biosignal multivariate quasi-periodic characteristics. The consideration is carried
out on the example of the radial artery pulse signal processing. HSC includes: a sensor signal,
digitizing the analog signal and the software developed by the authors on the basis of CodeGear
RAD Studio. The HSC has shown its high efficiency in solving applied problems in medical
diagnostics. Including, on the basis of the radial artery the pulse signal rhythmic structure and
form analysis results, solved the early hypertension in children and adolescents diagnosis
problem.