Polikarpov O. Improvement of methods of measurement information processing in the evaluation of medical electrical equipment.

Thesis deals with the an actual scientific and applied problem of increasing the medical electrical equipment quality assurances credibility based on а safety ratings in a linguistic information uncertainty conditions. As a result of theoretical and experimental studies, it is suggested and scientifically justified using of measuring information processing principles by neural networks and fuzzy modeling for risk estimation in medical electrical equipment quality assurance process. Measuring information processing methods were improved based on neural and fuzzy modeling for quality assurance and decision-making support to prevent safety nonconformities of medical electrical equipment. It was developed and implemented methods for evaluating of infant incubators and defibrillator's quality based on medical electrical equipment's risk management principles and an international standards for periodic quality control of medical equipment.