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运动伪迹约束下的无线生命特征采集系统设计

Wireless Life Feature Acquisition System Design Based on Motion Artifact Constraint
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摘要 目前的医疗设备是基于有线网络与现场总线技术来进行数据采集,这种技术中数据沿着线路传输,功耗消耗较大只能在特定的区域中使用,限制了病人与医护人员的行动,难以实现实时监控;提出一种基于物联网技术的生命体征采集系统设计方法,使用特殊设备采集体温、脉搏、心电、血氧等重要人体特征进行实时数据采集,使用SimpliciT1协议进行网络架构,基于CC2430模块无线通信,并且使用粒子群优化滤波器技术对心电信号进行运动伪迹噪声消除,将数据传输到上位机中进行分析,系统实际运行证明,体征数据采集准确率较高、实时性较好,具有很强的实用价值。 Current medical equipment is based on a cable network and field bus technology to carry out data acquisition, this data in technology along the transmission line, power consumption only in specific area using, limits the patient and medical personnel action, difficult to achieve real-- time monitoring. Proposed one kind based on the Internet of things technology vital signs data acquisition system design method, the use of special equipment acquisition body temperature, pulse, electrocardiogram, oxygen and other important human characteristics of real--time data collection, the use of the SimpliciT1 protocol network architecture based on CC2430 module, wireless communication, and the use of particle swarm optimization filter technology on ECG signal noise elimination of motion artifacts, to transfer the data to the host computer for analysis, the system practical operation shows signs of data acquisition, high accuracy, timeliness is good, has the very strong practical value.
作者 赵元庆 汤伟
出处 《计算机测量与控制》 北大核心 2013年第2期540-543,共4页 Computer Measurement &Control
基金 国家自然科学基金青年基金项目(41001251)
关键词 粒子群优化滤波器 SimpliciT1 生命体征 运动伪迹 物联网 Particle swarm optimization filter SimpliciT1 Vital signs Motion artifacts The Internet of things
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