The ZigBee Wireless Information Medical Monitoring for Bacterial Infections using Filter Mathematical Model

Abstract the study drew attention to the application of ZigBee wireless sensor network system based on digital filter mathematical model in the post-chemotherapy monitoring of hematological tumor patients, and the diagnostic value of the average fluorescence intensity of peripheral blood neutrophil CD64 (nCD64) for bacterial infections. In this study, 128 patients with hematological tumors who underwent chemotherapy in hospital were selected as the research subjects. The ZigBee wireless sensor network system based on digital filtering mathematical model was used to monitor the physiological indicators of patients in real time. The subjects were divided into the infected group and the non-infected group according to clinical characteristics and imaging examination results, and dynamic monitoring was performed on patients of long hospital stay but without fever. The two groups were compared for the average fluorescence intensity of neutrophils and the expression of C-reactive protein (CRP), and the ROC curve (Receiver Operating Characteristic Curve) was used to judge the cut-off value, sensitivity, and specificity of PCT, CRP, and nCD64. It was found that, under the ZigBee wireless sensor network system based on digital filtering mathematical model, the patient’s ECG frequency of the mixed baseline drift was relatively low, and the system filtered through the 0.5 Hz sine shock chill superposition. The detection accuracy was high; the subgroups of the infection group (the increased group, the normal group, the decreased group, and the deficient group) showed higher nCD64 average fluorescence intensity versus the non-infection group (P