Providing a heat-based treatment method based on fuzzy controller design to improve bed sore complications

Heat therapy is a cancer treatment that would supplement in combination with chemotherapy and radiotherapy used. Thermotherapy basis, providing a constant temperature in the range of ۴۵-۴۲ degrees and the temperature of the tumor tissue to keep the temperature evenly during treatment.Thermotherapy nanoparticles are injected into the tissue in the process. Light from an external source such as laser light into the tissue contains nanoparticles, sharp increases in ambient temperature patient cells. But the important point is that the temperature is too high for healthy cells are very dangerous and can cause damage to them.In this article, in order to confront the serious challenge of heat treatment methods, appropriate control measures are provided, To the laser radiation can be adjusted during the time.More efficient control strategy for controlling the temperature of a tumor in the presence of nanoparticles and laser radiation is discussed.Simulation studies on appropriate physiological model in the presence of nanoparticles to tumors is done.After obtaining the proper radiation profile, the efficiency of control measures were provided .Controller parameters classical approach based on trial and error and once again was performed using an optimization algorithm.The performance of an intelligent controller based on artificial neural network with integral derivative controller performance compared. Training the neural network using data collected was used for open-loop.To enhance control in order to overcome the uncertainties related to the dynamics of the systemintegral controller combination is used with the neural network. Artificial neural network )ANN) parameters set is integral controller, Then were compared with various controller performance.The results showed that all controllers are investigated, a good performance to set the laser power control and temperature radiation of tumors.

Keywords:

Nanoparticles , Infrared , Laser input power , Proportional controller , Integral , Derivative , neural network