Marnane W, Faul S, Bleakley C, Conway R, Jones E, Popovici E, de la Guia Solaz M, Morgan F, Patel K
School of Engineering, University College Cork, Ireland.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2025-9. doi: 10.1109/IEMBS.2010.5626803.
Body Sensor Networks (BSNs) have tremendous potential in facilitating the real-time monitoring of the health of an individual in their own environment. However to truly exploit this potential, the powerful signal processing and analysis techniques available in the hospital environment must also be deployed in BSNs. In this paper, techniques in algorithm development, communications, hardware architecture and circuit design are described that will achieve the necessary power savings to make intelligent BSNs a reality.
人体传感器网络（BSNs）在促进对个体在其自身环境中的健康状况进行实时监测方面具有巨大潜力。然而，要真正挖掘这一潜力，医院环境中可用的强大信号处理和分析技术也必须部署到人体传感器网络中。本文描述了算法开发、通信、硬件架构和电路设计等方面的技术，这些技术将实现必要的节能，以使智能人体传感器网络成为现实。
