目的设计一种生命体征采集系统,实现非联网体征采集设备测量数据的自动识别与记录。方法利用移动手持终端(Personal Digital Assistant,PDA)作为硬件载体,以卷积神经网络算法为基础,结合YOLOv5目标检测算法开发图像识别功能,设计具有图...目的设计一种生命体征采集系统,实现非联网体征采集设备测量数据的自动识别与记录。方法利用移动手持终端(Personal Digital Assistant,PDA)作为硬件载体,以卷积神经网络算法为基础,结合YOLOv5目标检测算法开发图像识别功能,设计具有图像识别能力的生命体征采集系统。通过PDA实现体温、血压、血氧、血糖测量设备体征数据的快速识别,并按照护理管理规则自动记录至医疗系统。结果生命体征采集系统应用后,体征数据采集正确率由99.67%提高至100.00%,次均采集时间缩短29.21%,医护满意度提升5.74%,且差异均有统计学意义(P<0.05)。结论该系统以真实体征数据保障有效诊断,进一步提高了病区护理工作效率,提升了护理质量水平与准确性。展开更多
The introduction of fillers boosts the performance of polymer coatings and extends their service life.However,single component fillers are not sufficient for intelligent coatings,and compatibility between the polymer ...The introduction of fillers boosts the performance of polymer coatings and extends their service life.However,single component fillers are not sufficient for intelligent coatings,and compatibility between the polymer matrix and the filler remains a major challenge.In this study,functional polydopamine(PDA)modified CeO_(2)/sodium-based montmorillonite(Na-MMT)or CeO_(2)/calcium-based montmorillonite(Ca-MMT)fillers were designed and fabricated via facile in-situ method.The coatings incorporated with MMT-based fillers that were prepared demonstrated remarkable anti-corrosion capabilities,exceptional antimicrobial resistance,and rapid selfhealing properties.Specific ally,the low-frequency impedance(|Z|_(0.01Hz))values of PDA/CeO_(2)/Na-MMT/EP and PDA/CeO_(2)/Ca-MMT/EP,after being immersed for 30 days,were sustained at 2.24×10^(7)and 1.70×10^(7)Ωcm^(2),respectively.Additionally,the bacteriostatic rates of the filler against E.coli and S.aureus can both reach above 99.9%,respectively,due to the photothermal effect and synergistic bacteriostatic mechanism of PDA and CeO_(2).The scratches healed rapidly within 40 s under near-infrared(NIR)irradiation.This work provides valuable guidance for the utilization of MMT-based sheet fillers for enhanced corrosion-resistant,antimicrobial,and repairable coatings.展开更多
文摘目的设计一种生命体征采集系统,实现非联网体征采集设备测量数据的自动识别与记录。方法利用移动手持终端(Personal Digital Assistant,PDA)作为硬件载体,以卷积神经网络算法为基础,结合YOLOv5目标检测算法开发图像识别功能,设计具有图像识别能力的生命体征采集系统。通过PDA实现体温、血压、血氧、血糖测量设备体征数据的快速识别,并按照护理管理规则自动记录至医疗系统。结果生命体征采集系统应用后,体征数据采集正确率由99.67%提高至100.00%,次均采集时间缩短29.21%,医护满意度提升5.74%,且差异均有统计学意义(P<0.05)。结论该系统以真实体征数据保障有效诊断,进一步提高了病区护理工作效率,提升了护理质量水平与准确性。
基金financially supported by the National Natural Science Foundation of China(No.52261045)Hainan Provincial Natural Science Foundation of China(No.625QN266)the Scientific Research Starting Foundation of Hainan University(No.XJ2400005319)
文摘The introduction of fillers boosts the performance of polymer coatings and extends their service life.However,single component fillers are not sufficient for intelligent coatings,and compatibility between the polymer matrix and the filler remains a major challenge.In this study,functional polydopamine(PDA)modified CeO_(2)/sodium-based montmorillonite(Na-MMT)or CeO_(2)/calcium-based montmorillonite(Ca-MMT)fillers were designed and fabricated via facile in-situ method.The coatings incorporated with MMT-based fillers that were prepared demonstrated remarkable anti-corrosion capabilities,exceptional antimicrobial resistance,and rapid selfhealing properties.Specific ally,the low-frequency impedance(|Z|_(0.01Hz))values of PDA/CeO_(2)/Na-MMT/EP and PDA/CeO_(2)/Ca-MMT/EP,after being immersed for 30 days,were sustained at 2.24×10^(7)and 1.70×10^(7)Ωcm^(2),respectively.Additionally,the bacteriostatic rates of the filler against E.coli and S.aureus can both reach above 99.9%,respectively,due to the photothermal effect and synergistic bacteriostatic mechanism of PDA and CeO_(2).The scratches healed rapidly within 40 s under near-infrared(NIR)irradiation.This work provides valuable guidance for the utilization of MMT-based sheet fillers for enhanced corrosion-resistant,antimicrobial,and repairable coatings.
