摘要
结合通信技术最新发展,本文通过引入云智能,提出了一种基于Wi Fi的云智能血氧浓度检测系统。该系统利用云计算实现了模糊神经网络的蚁群优化算法,不仅降低了感知端的软硬件设计的复杂度,而且有效提高了血氧检测精度,更有利于血氧健康数据的实时跟踪和长期维护。实验结果表明,本文提出的设计安全可靠,符合智能医疗的发展方向,因此具有较好的应用及推广价值。
Combined with the latest developments in communications technology,this paper presented a detection system of oxygen concentration based on Wi Fi and intelligent cloud. The system utilizes cloud computing to fulfill fuzzy neural,and network to achieve the ant colony optimization algorithm,which not only reduces the complexity of the perceived end hardware and software design,and effectively improves the oxygen detection accuracy,real-time tracking and more conducive to long-term maintenance of health data oxygen. Experimental Results shows the design is safe and reliable,consistent with the development of intelligent health care,so it has good application and promotional value.
出处
《电子器件》
CAS
北大核心
2015年第1期189-193,共5页
Chinese Journal of Electron Devices
基金
国家自然科学基金项目(60975017)
教育部博士点专项基金项目(20110092130004)
关键词
WI
FI
云计算
数据处理
血氧检测
Wi Fi
cloud computing
data processing
Oxygen concentration detection