Needs of Hybrid Systems Configuration for Real - Time Decision - Making Process in Surgery.

摘要

Hybrid systems and techniques, combining data driven learning techniques (such as neural networks) with knowledge driven techniques (such as fuzzy rules) begin to be extensively applied in the biomedical field, especially for signal analysis and interpretation and for computer controlled systems. A real need for design and configuration of dedicated hybrid systems in modern surgery is raising: sensors, actuators, mechatronic systems and tools in Minimally Invasive Surgery (MIS) and Microsurgery require nonlinear interpretation and control systems to interface with the computer-assisted decision making process of the surgeon at work. interpretation and control systems to interface with the computer%assisted decision making process of the surgeon at work.