Abstract：It was important to ensure the temperature control of medical equipment with the heat preservation function within an acceptable range of the setting value. The temperature monitoring was traditionally carried out by artificial judgment, which mainly depended on subjective experiences. Also, it was not easy to make an accurate decision in case of complex situations. In this paper, a PCA-based (Principal-Component-Analysis-Based) multivariate statistical model was proposed and applied for temperature monitoring of the medical equipment. In the new model, connections between the monitoring data of temperature sensors was constructed on the basis of PCA model so as to monitor the status of the temperature of medical equipment through use of corresponding statistical data. After application of the new model to analysis of the temperature of the blue light box, it demonstrated its effectiveness, quick responses and alert to the abnormal conditions, which could ensure the abnormalities are found and processed in the shortest time. In practice, the proposed model had strong practicality and could also be used in various medical equipment that needed to monitor the temperature data.
吴蕴蕴，郑彩仙. 基于主成分分析模型的医疗设备温度监测模型及其应用[J]. 中国医疗设备, 2015, 30(4): 15-17.
WU Yun-yun, ZHEN Cai-xian. APCA-Based Medical Equipment Temperature Monitoring Model and its Application. China Medical Devices, 2015, 30(4): 15-17.
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