Self-powered wireless sensor networks for remote patient monitoring in hospitals

Self-powered wireless sensor networks for remote patient monitoring in hospitals
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DOI:
10.3390/s6091102
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发表时间:
2006-09-01
期刊:
影响因子:
3.9
通讯作者:
Bhatia, Dinesh
Bhatia, Dinesh
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Hande, Abhiman;Polk, Todd;Bhatia, Dinesh

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被引文献

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医院内的患者生命体征监测需要使用硬连线到床边监护仪的非侵入式传感器。这种设置是笨重的,迫使病人被限制在他的病床上,从而不允许他在医院内自由移动。本文讨论了使用无线传感器网络监测病人的生命体征数据在医院设置。Crossbow MICAz微尘已被用于设计一个强大的网状网络,该网络将患者数据路由到医院内的远程基站。医院护理人员可以在任何时间点访问这些数据,并且不必亲自出现在患者的房间中来查看读数。网络基础设施节点是自供电的,并通过太阳能电池板从头顶的34 W荧光灯中获取能量。传感器节点可以连接到各种生命体征传感器,例如心电图(ECG)、脉搏血氧计和血压(BP)传感器。为了验证一个完整的功能系统,商业BP/心率监测器(BPM)连接到一个无线传感器节点。传感器节点控制BPM发起阅读,然后收集数据并将其转发到基站。设计了一个有吸引力的图形用户界面(GUI),用于在基站PC上存储和显示患者数据。该装置被认为是非常强大的低功耗。
Patient vital sign monitoring within hospitals requires the use of non-invasive sensors that are hardwired to bedside monitors. This set-up is cumbersome, forcing the patient to be confined to his hospital bed thereby not allowing him to move around freely within the hospital premises. This paper addresses the use of wireless sensor networks for monitoring patient vital sign data in a hospital setting. Crossbow MICAz motes have been used to design a robust mesh network that routes patient data to a remote base station within the hospital premises. A hospital care giver can have access to this data at any point in time and doesn't have to be physically present in the patient's room to review the readings. The network infrastructure nodes are self-powered and draw energy from overhead 34W fluorescent lights via solar panels. The sensor nodes can be interfaced to a variety of vital sign sensors such as electrocardiograms (ECGs), pulse-oximeters and blood pressure (BP) sensors. In order to verify a completely functioning system, a commercial BP/heart-rate monitor (BPM) was interfaced to a wireless sensor node. The sensor node controls the BPM to initiate a reading, then collects the data and forwards it to the base station. An attractive graphical user interface (GUI) was designed to store and display patient data on the base station PC. The set-up was found to be extremely robust with low power consumption.