Miniature non-invasive temperature detecting capsule based on RBF neural networks

In order to address the problem of high precision temperature detection in gastrointestinal tract,a miniature non-invasive temperature detecting capsule for gastrointestinal tract is presented.In order to attend high precision,a median filter is used to settle sample data and reduce disturbing noise.And a compensation model based on the theory of RBF neural network is built to test the non-liner temperature of gastrointestinal tract.The experiments conclude that the accuracy of the system based on median filter and RBF networks compensation model is higher than the normal liner temperature compensation methods.The temperature detecting capsule can fulfill the requirement of temperature detecting capsule.