Objective:To explore a fast and accurate method to diagnose children's pneumonia according to respiratory signals, so as to avoid the cancer induction caused by traditional X-ray examination.Methods:A Mach Zehnder optical fiber sensor was used to build a respiratory signals(RSPs) detection system, and the RSPs of the monitored children were extracted according to the vibration signal generated by the children's lung rales. Preprocessing methods such as the discrete cosine transform(DCT) were used to compress and denoise the RSPs. Multi-feature extraction of RSPs was conducted through signal processing methods such as the Hilbert transform and autoregressive (AR) model spectrum estimation. A support vector machine (SVM) classification model was constructed to classify the collected RSPs.Results:The accuracy rate of the proposed RSP classification of children with or without pneumonia was 94.41%, which was higher than the previous methods.Conclusions:The children's pneumonia diagnosis system based on an optical fiber sensor has a higher detection accuracy, and is expected to be widely used in clinical practice.

Objective To study the effect of intercellular adhesion of tumor cells on immune response of human body. Methods A tumor growth-cellular immune feedback model was developed based on cellular Potts model (CPM) to simulate the progression of tumor cells and the cellular immune feedback system, and the influence of adhesion between tumor cells on the immune system was analyzed. Results Under the condition of tumor intercellular adhesion with normal intensity, tumor cells could escape when the immune system was weak and be eliminated when the immune system was strong. Under the condition of tumor intercellular adhesion with low intensity, tumor cells could escape when the immune system was weak, while exhibited behavior of oscillation and could not be eliminated when the immune system was strong. Conclusions Higher adhesion between tumor cells inhibited escape of tumor cells from the immune system, while lower adhesion between tumor cells could effectively help the tumor escape killing from the immune system. When the tumor was extremely spread, the immune system could not completely eliminate tumor cells.