This article describes an approach to create a model based on neural network for use in photoplethysmography. Using this model the development of a method for measuring blood pressure in the distal vessels. Such an approach allows for comfortable removal of diagnostic parameters for the need for long-term testing. These methods can be used to analyze the state of the human operator, and in particular, the driver at pre-shift control for skrinningovyh surveys.
Keywords: photoplethysmogram, cardio-vascular system, neural network modeling