Wireless Healthcare Monitoring with RFID-Enhanced Video Sensor Networks

Alemdar, Hande
Ersoy, Cem
In pervasive healthcare systems, WSNs provide rich contextual information and alerting mechanisms against odd conditions with continuous monitoring. Furthermore, they minimize the need for caregivers and help the chronically ill and elderly to survive an independent life. In this paper, we propose an outdoor monitoring environment and evaluate the capabilities of video sensor networks for healthcare monitoring in an outdoor setting. The results exhibit that their capabilities are limited. For this reason, we proposed several enhancements for reducing the traffic load on the network for better performance. RFID is a very mature technology that has already been used in many areas. The RFID-enhanced video sensor networks reduce the network traffic load. Moreover, the proximity of the healthcare professionals who are also moving in the surveillance area is also used for better balancing the network load. Finally, for assuring the reporting of the emergency events with low latencies, we propose an emergency frame based queuing mechanism and evaluated its performance through simulations.


WeCare: Wireless enhanced healthcare
Alemdar, Hande (2010-10-11)
In-home pervasive healthcare systems provide rich contextual information and alerting mechanisms against odd conditions with continuous monitoring. This minimizes the need for caregivers and help the chronically ill and elderly to survive an independent life. In this study, we present a webbased indoor monitoring system, namely WeCare, and showed the applicability of multi-modal sensor network technologies on healthcare monitoring.
Collaborative Business Process Support in eHealth: Integrating IHE Profiles Through ebXML Business Process Specification Language
Doğaç, Asuman; Kabak, Yildiray; Namli, Tuncay; Okcan, Alper (Institute of Electrical and Electronics Engineers (IEEE), 2008-11-01)
Integrating healthcare enterprise (IHE) specifies integration profiles describing selected real world use cases to facilitate the interoperability of healthcare information resources. While realizing a complex real-world scenario, IHE profiles are combined by grouping the related IHE actors. Grouping IHE actors implies that the associated business processes (IHE profiles) that the actors are involved must be combined, that is, the choreography of the resulting collaborative business process must be determin...
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Hasan, Mohammed Zaki; Al-Turjman, Fadi (Elsevier BV, 2019-03-01)
Social Internet of Things (SIoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover and select k-disjoint paths that tolerates the failure while satisfying quality of service (QoS) ...
Intelligent healthcare monitoring system based on semantically enriched clinical guidelines
Laleci, Gökçe Banu; Doğaç, Asuman; Department of Computer Engineering (2008)
Clinical guidelines are developed to assist healthcare practitioners to make decisions on a patient's medical problems and as such they communicate with external applications to retrieve patient data, to initiate medical actions through clinical workflows and to transmit information to alert/reminder systems. The interoperability problems in the healthcare IT domain for interacting with heterogeneous clinical workflow systems and Electronic Healthcare Record (EHR) Systems prevent wider deployment of clinica...
Quality of deployment in surveillance wireless sensor networks
Onur, Ertan; Deliç, Hakan (Springer Science and Business Media LLC, 2005-01-01)
When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modeled as a grid and the placement of the sensors is uniformly distributed. Neyman–Pearson detection is utilized to determine the effects of false-alarm and signal characteristics on ...
Citation Formats
H. Alemdar and C. Ersoy, “Wireless Healthcare Monitoring with RFID-Enhanced Video Sensor Networks,” INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, pp. 0–0, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42443.