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.