Dynamic Prediction of Body Temperature Monitoring Equipment

A new dynamic predict method for solving the problem of a wearable body temperature measuring equipment's poor dynamic response characteristics and a data fitting method of body temperature under experimental conditions are proposed in this paper. The method is based on the law of conservation of energy, Taylor expansion in respect of time and the idea of finite difference. The predictive equations of predict temperature with respect to predict coefficient and known time nodes' temperature are established, the body temperature can be quickly obtained by measuring the first few minutes' temperature. The predicted results are well verified by experimental data. And the possible influencing factors for prediction are analyzed, which include difference scheme, initial temperature, body temperature, time constant and temperature difference. This method allows the body temperature measurement equipment with lower price get higher performance, which greatly improved the practicability of temperature sensors that measurement process satisfy the first order inertia link.