Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals

Hande, Abhiman; Polk, Todd; Walker, William P.; Bhatia, Dinesh

doi:10.3390/s6091102

Cited by 90 publications

(58 citation statements)

References 7 publications

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“…For the first one, we consider the self-powered WSN [61] that is composed by 13 motes: one base station (that consists of a mote and is connected to a server), four router nodes (realized utilizing CrossBow MICAz motes) and eight sensor nodes (such as ECGs, pulse-oximeters, etc.). For the second one, we consider MEDiSN [59] that is composed of 10 motes: one base station (as gateway), four relay points (that are wireless sensors) and finally five physiological monitors (collecting patients' physiological data).…”

Section: Resultsmentioning

confidence: 99%

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A Formal Methodology to Design and Deploy Dependable Wireless Sensor Networks

Augusto

Cinque

Coronato³

et al. 2016

Preprint

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Wireless Sensor Networks (WSNs) are being increasingly adopted in critical applications, where verifying the correct operation of sensor nodes is a major concern. Undesired events may undermine the mission of the WSNs. Hence, their effects need to be properly assessed before deployment, to obtain a good level of expected performance; and during the operation, in order to avoid dangerous unexpected results. In this paper, we propose a methodology that aims at assessing and improving the dependability level of WSNs by means of an event-based formal verification technique. The methodology includes a process to guide designers towards the realization of a dependable WSN and a tool ("ADVISES") to simplify its adoption. The tool is applicable to homogeneous WSNs with static routing topologies. It allows the automatic generation of formal specifications used to check correctness properties and evaluate dependability metrics at design time and at runtime for WSNs where an acceptable percentage of faults can be defined. During the runtime, we can check the behavior of the WSN accordingly to the results obtained at design time and we can detect sudden and unexpected failures, in order to trigger recovery procedures. The effectiveness of the methodology is shown in the context of two case studies, as proof-of-concept, aiming to illustrate how the tool is helpful to drive design choices and to check the correctness properties of the WSN at runtime. Although the method scales up to very large WSNs, the applicability of the methodology may be compromised by the state space explosion of the reasoning model, which must be faced by partitioning large topologies into sub-topologies.

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Section: Resultsmentioning

confidence: 99%

“…Moreover, starting from the original topologies of the two networks as presented in [59,61], we attempt to make them more robust, reconfiguring the connections among the nodes and observing effects.…”

Section: Static Verificationmentioning

confidence: 99%

A Formal Methodology to Design and Deploy Dependable Wireless Sensor Networks

Augusto

Cinque

Coronato³

et al. 2016

Preprint

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“…One of the first wireless sensor networkbased systems for patient monitoring in the hospital environment was presented by researchers from the University of Texas, in 2006, and was based on a ZigBee multi-hop network. 19 A wearable patient unit consisting of a MicaZ mote was interfaced with a commercial blood pressure (BP) and a heart rate (HR) monitor. Routers were also based on MicaZ motes.…”

Section: Related Workmentioning

confidence: 99%

Remote Patient Monitoring Based on ZigBee: Lessons from a Real-World Deployment

Fernández-López

Afonso²,

Correia³

et al. 2014

Telemedicine and e-Health

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Aim: This work presents detailed experimental performance results from tests executed in the hospital environment for Health Monitoring for All (HM4All), a remote vital signs monitoring system based on a ZigBee Ò (ZigBee Alliance, San Ramon, CA) body sensor network (BSN). Materials and Methods: Tests involved the use of six electrocardiogram (ECG) sensors operating in two different modes: the ECG mode involved the transmission of ECG waveform data and heart rate (HR) values to the ZigBee coordinator, whereas the HR mode included only the transmission of HR values. In the absence of hidden nodes, a non-beacon-enabled star network composed of sensing devices working on ECG mode kept the delivery ratio (DR) at 100%. Results: When the network topology was changed to a 2-hop tree, the performance degraded slightly, resulting in an average DR of 98.56%. Although these performance outcomes may seem satisfactory, further investigation demonstrated that individual sensing devices went through transitory periods with low DR. Other tests have shown that ZigBee BSNs are highly susceptible to collisions owing to hidden nodes. Nevertheless, these tests have also shown that these networks can achieve high reliability if the amount of traffic is kept low. Contrary to what is typically shown in scientific articles and in manufacturers' documentation, the test outcomes presented in this article include temporal graphs of the DR achieved by each wireless sensor device. Conclusions: The test procedure and the approach used to represent its outcomes, which allow the identification of undesirable transitory periods of low reliability due to contention between devices, constitute the main contribution of this work.

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“…WSNs are networks of low cost (Hande et al, 2006;Mwinyi et al, 2014), suitable for collecting data for control and monitoring as well as for scientific research.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Measuring the Consumption of Save Water Taps

Yano¹,

Oliveira

Araujo

et al. 2014

American Journal of Applied Sciences

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Currently, water consumption is on the agenda of most organizations around the world. Beyond the environmental benefits for a better use of natural resources there is also a financial motivation to continuously reduce operation costs. This study reports a cost-effective solution using a Wireless Sensor Network (WSN) for measuring the consumption of different types of save water taps, in a real situation of intense use. It is also pointed out that WSNs are networks suitable for data collection where a wired infrastructure for data transmission does not exist or it is unfeasible to install one. Which was the case of this research, that regarded the liquid consumption along with the technical and economic benefits of save water taps. On this proposed setup network installation should only be sustained during the period of this investigation. Since once it was finished, the entire experimental arrangement was scrapped as the structure would have no more utility because the data was already collected and analised and therefore, was reprocicable.

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Self-Powered Wireless Sensor Networks for Remote Patient Monitoring in Hospitals

Cited by 90 publications

References 7 publications

A Formal Methodology to Design and Deploy Dependable Wireless Sensor Networks

A Formal Methodology to Design and Deploy Dependable Wireless Sensor Networks

Remote Patient Monitoring Based on ZigBee: Lessons from a Real-World Deployment

Wireless Sensor Networks for Measuring the Consumption of Save Water Taps

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