摘要
随着生活节奏的加快,血压相关性疾病的发病率日渐增高,人们对健康的关注度也逐渐提高。目前,针对人们对健康监测系统通用性、易用性、高精度的基本特征需求,设计了一种新的网络化无创血压实时监测系统。该系统通过检测光电容积脉搏波(PPG)与心电图(ECG)信号,建立血管腔模型进行血压测量,降低测量过程的复杂度和不适感,并结合机器学习方法融合人体特征,进一步提高血压测量准确度。同时利用无线传输技术将测量结果发送至智能终端,且结合历史数据信息进行健康评估,为不同用户提供准确、有效的健康服务,对于血压相关性疾病的预防和治疗发挥重要的指导作用。此外,该系统对于中老年人群的实时健康监护,尤其是独居老人具有重要的研究意义。
With the acceleration of life,the incidence of blood pressure-related diseases is increasing,and people's attention to health is also gradually increasing.At present,a new networked non-invasive real-time blood pressure monitoring system is designed to meet the basic requirements of universality,ease of use and accuracy of health monitoring system.The system performs blood pressure measurement by photoelectric detecting the photoplethysmograph(PPG)and the electrocardiogram(ECG)signal and establishing the vascular lumen model,and reduces the complexity and discomfort of the measurement process.The accuracy of blood pressure measurement can be further improved by integrating human features with machine learning method.At the same time,the wireless transmission technology is used to transmit the measurement result to the intelligent terminal,and the health evaluation is combined with the historical data information to provide accurate and effective health services for different users,which plays an important guiding role in the prevention and treatment of blood pressure-related diseases.In addition,the system has important research significance for real-time health monitoring of middle-aged and elderly people,especially the elderly living alone.
作者
席镯宾
陈小惠
张永芳
程馨
潘圆圆
XI Zhuo-bin;CHEN Xiao-hui;ZHANG Yong-fang;CHENG Xin;PAN Yuan-yuan(School of Automation/Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《计算机技术与发展》
2020年第1期155-159,共5页
Computer Technology and Development
基金
国家自然科学基金(61801239)
关键词
监测系统
血管腔模型
机器学习
人体特征
无线传输
monitoring system
vascular lumen model
machine learning
human characteristics
wireless transmission
