摘要
当前智能血压监测过程中,受限于单一化和粗糙化的聚类中心,血压监测设备与数据库间的同类数据的自动集成难度较大,对此,提出血压监测设备与数据库间交互信息自动集成算法。分析血压监测设备中数据存储梯度与弹性之间的关系,确定血压监测设备数据,获取交互信息;随机选择数据集,针对初始聚类中心随机性问题,应用加权局部方差、加权最大值和加权最小值优化聚类中心,根据欧氏距离,分配剩余数据,以获得J类交互数据;整合血压监测设备与数据库的交互信息,完成同类交互信息集成算法设计。实验结果显示:应用所提算法后,数据安全系数整体下降幅度极小,且一直接近于1,完整性波动幅度最小;当集成同样数量的数据时,归一化互信息值明显较比较算法更高;血压监测设备与数据库交互信息数据存储安全性较高、信息集成性能较好。
In the current intelligent blood pressure monitoring processing,the automatic integration of similar data between blood pressure monitoring devices and databases is difficult due to the limitations of single and rough clustering centers.There-fore,an automatic integration algorithm for interaction information between blood pressure monitoring devices and databases is proposed.The relationship between data storage gradient and elasticity in blood pressure monitoring devices is analyzed,the data of blood pressure monitoring devices are determined,and the interaction information is obtained.A dataset is randomly se-lected,weighted local variance,weighted maximum value and weighted minimum value are applied to optimize the clustering center for the initial clustering center randomness problem.The remaining data are allocated based on Euclidean distance to ob-tain class J interaction data.The interaction information between blood pressure monitoring devices and databases is integrated to complete the design of the same class interaction information integration algorithm.The experimental results show that after the application of the proposed algorithm,the overall decrease in safety factor is minimal and always close to l,and has the smallest fluctuation in integrity.When integrating the same amount of data,the normalized mutual information value is signifi-cantly higher than the comparison algorithms.The interaction information between blood pressure monitoring devices and data-bases has high data storage security and good information integration performance.
作者
龚玲玲
茅春宇
朋方林
蔡芸芸
GONG Lingling;MAO Chunyu;PENG Fanglin;CAI Yunyun(Chongming Hospital Affiliated to Shanghai University of Medicine&Health Sciences,Shanghai 202150,China)
出处
《微型电脑应用》
2025年第5期116-120,共5页
Microcomputer Applications
基金
上海交通大学医学院附属新华医院崇明分院卫生健康管理及政策研究项目(2019YB-12)。
关键词
血压监测设备
数据库
交互信息
自动集成
数据聚类
blood pressure monitoring device
database
interaction information
automatic integration
data clustering
