Transmission of Patient Vital Signs Using Wireless Body Area Networks

Chen, Baozhi; Pompili, Dario

doi:10.1007/s11036-010-0253-7

Cited by 32 publications

(15 citation statements)

References 25 publications

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“…However, in the case of the ECG and Blood Pressure nodes, we adopt a slightly different aggregate traffic model which results in sample size of 120 bits and 96 bits, respectively. For this process, it was taken into account the bit rate and the delay requirements of healthcare data [25] [14].…”

Section: Simulation Setupmentioning

confidence: 99%

HEH-BMAC: Hybrid polling MAC protocol for WBANs operated by human energy harvesting

et al. 2014

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This paper introduces Human Energy Harvesting Medium Access Control (MAC) protocol (HEH-BMAC), a hybrid polling MAC suitable for Wireless Body Area Networks (WBANs) powered by human energy harvesting. The proposed protocol combines two different medium access methods, namely polling (IDpolling) and probabilistic contention (PC) access, to adapt its operation to the different energy and state (active/inactive) changes that the network nodes may experience due to their random nature and the time variation of the energy harvesting sources. HEH-BMAC exploits the packet inter-arrival time and the energy harvesting rate information of each node to implement an efficient access scheme with different priority levels. In addition, our protocol can be applied dynamically in realistic networks, since it is adaptive to the topology changes, allowing the insertion/removal of wireless sensor nodes. Extensive simulations have been conducted in order to evaluate the protocol performance and study the throughput and energy tradeoffs.

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Section: Simulation Setupmentioning

confidence: 99%

HEH-BMAC: Hybrid polling MAC protocol for WBANs operated by human energy harvesting

et al. 2014

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“…In the M2M access communication network, a point-to-point medium/longrange connection between the WBAN gateway and the core network is usually assumed (e.g., through a WLAN access point or an LTE base station), without excluding the possibility of more complex topologies. For instance, it is possible to exploit the presence of multiple WBANs [21] or ambient sensor network deployments [22] in order to establish multihop links, enabling the design of efficient routing and cooperative schemes. • Security: A key challenge of mHealth applications is to guarantee of the confidentiality of medical information, which faces additional threats due to the M2M architecture, mainly due to: i) the wireless transmission of medical-sensitive data, and ii) the data storage in multiple locations, both locally and in remote servers and devices.…”

Section: Design Challenges For Mhealth Applicationsmentioning

confidence: 99%

End-to-end communication challenges in M2M systems for mHealth applications

Kartsakli¹,

Lalos²,

Antonopoulos³

et al. 2014

2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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In the new era of connectivity, marked by the explosive number of wireless electronic devices and the need for smart and pervasive applications, Machine-to-Machine (M2M) communications are an emerging technology that enables the seamless device interconnection without the need of human interaction. The use of M2M technology can bring to life a wide range of mHealth applications, with considerable benefits for both patients and healthcare providers. Many technological challenges have to be met, however, to ensure the widespread adoption of mHealth solutions in the future. In this paper, after describing the key elements of the M2M architecture, we discuss the main design challenges from a communication perspective and we present some relevant ongoing projects for mHealth applications.Peer ReviewedPostprint (published version

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“…The advances of wireless network technology and the development of body sensors are helping to improve the care of patients with reduced mobility at hospitals and health centers [16]. Accidental falls in the elderly and disabled people is considered one of the major health problems, in terms of primary care costs, of the public and private health systems [5].…”

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confidence: 99%

Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People

et al. 2013

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Official statistics data show that in many countries the population is aging. In addition, there are several illnesses and disabilities that also affect a small sector of the population. In recent years, researchers and medical foundations are working in order to develop systems based on new technologies and enhance the quality of life of them. One of the cheapest ways is to take advantage of the features provided by the smartphones. Nowadays, the development of reduced size smartphones, but with high processing capacity, has increased dramatically. We can take profit of the sensors placed in smartphones in order to monitor disabled and elderly people. In this paper, we propose a smart collaborative system based on the sensors embedded in mobile devices, which permit us to monitor the status of a person based on what is happening in the environment, but comparing and taking decisions based on what is happening to its neighbors. The proposed protocol for the mobile ad hoc network and the smart system algorithm are described in detail. We provide some measurements showing the decisions taken for several common cases and we also show the performance of our proposal when there is a medium size group of disabled or elderly people. Our proposal can also be applied to take care of children in several situations.

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Transmission of Patient Vital Signs Using Wireless Body Area Networks

Cited by 32 publications

References 25 publications

HEH-BMAC: Hybrid polling MAC protocol for WBANs operated by human energy harvesting

HEH-BMAC: Hybrid polling MAC protocol for WBANs operated by human energy harvesting

End-to-end communication challenges in M2M systems for mHealth applications

Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People

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