Wireless Medical Sensor Networks in Emergency Response: Implementation and Pilot Results

Gao, Tia; Pesto, C.; Selavo, Leo; Chen, Yin; Ko, Jeong Gil; Lim, Jong Hyun; Terzis, Andreas; Watt, Amanda; Jeng, James C.; Chen, Bor-Rong; Lorincz, Konrad; Welsh, Matt

doi:10.1109/ths.2008.4534447

Cited by 180 publications

(115 citation statements)

References 2 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…Applications include mass-casualty disaster monitoring [9], vital sign monitoring in hospitals [10], and sudden fall or epilepsy seizure detection [11].…”

Section: Healthcarementioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

802

452

View full text Add to dashboard Cite

The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On the one hand, energyconstrained sensors are expected to run autonomously for long periods. However, it may be cost-prohibitive to replace exhausted batteries or even impossible in hostile environments. On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring. Thus, any WSN deployment has to satisfy a set of requirements that differs from one application to another. In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem. This research covers several areas going from physical layer optimization to network layer solutions. Therefore, it is not easy for the WSN designer to select the efficient solutions that should be considered in the design of application-specific WSN architecture.We present a top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks. We first identify the main categories of applications and their specific requirements. Then we present a new classification of energy-conservation schemes found in the recent literature, followed by a systematic discussion as to how these schemes conflict with the specific requirements. Finally, we survey the techniques applied in WSNs to achieve trade-off between multiple requirements, such as multi-objective optimisation.

show abstract

“…Applications include mass-casualty disaster monitoring [9], vital sign monitoring in hospitals [10], and sudden fall or epilepsy seizure detection [11].…”

Section: Healthcarementioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

802

452

View full text Add to dashboard Cite

show abstract

“…However, the threshold for emergencies is not necessarily self-evident, nor can the reliability of a measurement be taken for granted. False positives can harmful as well as false negatives, due to the distress caused to users and avoidable usage of valuable public health resources through unnecessary visits to the emergency room, for example [14]. This issue also raises concerns over automation and the degree to which a human medical professional should be involved in decision-making around emergency alerts.…”

Section: Non-maleficence and Beneficencementioning

confidence: 99%

Designing the Health-related Internet of Things: Ethical Principles and Guidelines

Mittelstadt

2017

Information

View full text Add to dashboard Cite

Abstract:The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols.

show abstract

“…Tia Gao et al introduced a wireless sensor network (WSN) system for medical devices. (Gao, et al, 2008) The information from the sensors is wirelessly transmitted to the server, and it can be accessed through handheld devices and computers (Figure 20). The authors tested the system along with medical professions in a mock emergency situation with satisfying results.…”

Section: Current Researchmentioning

confidence: 99%

“…(Iso-Ketola et al, 2008) The devices are also given to the patient such that they can monitor and follow the precautions given by the surgeons. (Gao, et al, 2008). (Patel, et al, 2009).…”

Section: Current Researchmentioning

confidence: 99%