针对医疗保健领域人体生理监护需要,提出基于IEEE 802.15.4的人体生理信号监测无线个域网(Physio- logical Monitoring-Wireless Personal Area Netwlork,PM-WPAN),在人体范围内采集、传输各种基本生理信号。该低速、低复杂度无线网络...针对医疗保健领域人体生理监护需要,提出基于IEEE 802.15.4的人体生理信号监测无线个域网(Physio- logical Monitoring-Wireless Personal Area Netwlork,PM-WPAN),在人体范围内采集、传输各种基本生理信号。该低速、低复杂度无线网络具有高可靠性、低成本和低功耗的特点。设计了PM-WPAN传感节点部署、工作频段、拓扑结构、媒体访问模式等相关网络通信机制。通过网络仿真对其吞吐量、延迟和丢包等性能进行了研究,证明该PM- WPAN能够满足生理监护需要。展开更多
Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physic...Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physical exercise risk evaluation （PERE）, in which personalized factors are deterrrdned basing on grey correlation analysis, analytic hierarchy process （AHP） method is used to structure the large numbers of risk factors, and fuzzy comprehensive evaluation （FCE） is applied to fuzzify the factors and compute the exercise risk level. Finally, an actual calculation example is used to verify the feasibility of the method.展开更多
文摘针对医疗保健领域人体生理监护需要,提出基于IEEE 802.15.4的人体生理信号监测无线个域网(Physio- logical Monitoring-Wireless Personal Area Netwlork,PM-WPAN),在人体范围内采集、传输各种基本生理信号。该低速、低复杂度无线网络具有高可靠性、低成本和低功耗的特点。设计了PM-WPAN传感节点部署、工作频段、拓扑结构、媒体访问模式等相关网络通信机制。通过网络仿真对其吞吐量、延迟和丢包等性能进行了研究,证明该PM- WPAN能够满足生理监护需要。
基金The Cultivation Fund of the Key Scientific and Technical Innovation Project from Ministry of Education of China(No706024)International Science Cooperation Foundation of Shanghai ( No061307041)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No20060255006)
文摘Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physical exercise risk evaluation （PERE）, in which personalized factors are deterrrdned basing on grey correlation analysis, analytic hierarchy process （AHP） method is used to structure the large numbers of risk factors, and fuzzy comprehensive evaluation （FCE） is applied to fuzzify the factors and compute the exercise risk level. Finally, an actual calculation example is used to verify the feasibility of the method.
