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. 2014 Jan 30;14(2):2397-416.
doi: 10.3390/s140202397.

A mobility enabled inpatient monitoring system using a ZigBee medical sensor network

Affiliations

A mobility enabled inpatient monitoring system using a ZigBee medical sensor network

Hoi Ching Tung et al. Sensors (Basel). .

Abstract

This paper presents a ZigBee In-Patient Monitoring system embedded with a new ZigBee mobility management solution. The system enables ZigBee device mobility in a fixed ZigBee network. The usage, the architecture and the mobility framework are discussed in details in the paper. The evaluation shows that the new algorithm offers a good efficiency, resulting in a low management cost. In addition, the system can save lives by providing a panic button and can be used as a location tracking service. A case study focused on the Princes of Wales Hospital in Hong Kong is presented and findings are given. This investigation reveals that the developed mobile solutions offer promising value-added services for many potential ZigBee applications.

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Figures

Figure 1.
Figure 1.
The ZigBee in-patient monitoring system (ZIPMS) overview.
Figure 2.
Figure 2.
ZiM2 mobile.
Figure 3.
Figure 3.
ZiM2 frontier.
Figure 4.
Figure 4.
Schematic of the main clinical block and trauma center.
Figure 5.
Figure 5.
Simplified floor plan.
Figure 6.
Figure 6.
ZIPMS tree network.
Figure 7.
Figure 7.
ZIPMS.
Figure 8.
Figure 8.
ZIPMS: (a) handheld (b) frontend router/gateway.
Figure 9.
Figure 9.
User interface of the ZIPMS prototype.
Figure 10.
Figure 10.
Experimental network.
Figure 11.
Figure 11.
Experimental setup of reliability test.
Figure 12.
Figure 12.
ZIPMS packet loss probability when d is 10–30 m and R is 10–80 kbps.

References

    1. Takamura J., Williams B. Department of Health and Human Services; Washington, DC, USA: 1997. [(accessed on 25 April 2013)]. Informal Caregiving: Compassion in Action. Available online: http://aspe.hhs.gov/daltcp/reports/carebro2.pdf.
    1. Hii P.-C., Chung W.-Y. A comprehensive ubiquitous healthcare solution on an Android™ mobile device. Sensors. 2011;11:6799–6815. - PMC - PubMed
    1. Custodio V., Herrera F.J., López G., Moreno J.I. A review on architectures and communications technologies for wearable health-monitoring systems. Sensors. 2012;12:13907–13946. - PMC - PubMed
    1. Chen Y.-L., Chiang H.-H., Yu C.-W., Chiang C.-Y., Liu C.-M., Wang J.-H. An intelligent knowledge-based and customizable home care system framework with ubiquitous patient monitoring and alerting techniques. Sensors. 2012;12:11154–11186. - PMC - PubMed
    1. Lee Y.-S., Chung W.-Y. Visual sensor based abnormal event detection with moving shadow removal in home healthcare applications. Sensors. 2012;12:573–584. - PMC - PubMed

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