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https://doi.org/10.4108/bodyne...
Article . 2007 . Peer-reviewed
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Lightweight medical BodyNets

Authors: Foad Dabiri; Hyduke Noshadi; Hagop Hagopian; Tammara Massey; Majid Sarrafzadeh;

Lightweight medical BodyNets

Abstract

Body area networks are becoming more and more popular in addressing health care application due to advances in sensing technologies and the fact the these networks lie within close proximity of the body. We have developed a general purpose wearable platform using lightweight embedded system to address various medical applications. This architecture is composed of tiny processors/microcontrollers equipped with non-invasive sensors. In addition, an on-body terminal enables the system to be reconfigurable and to communicate with medical enterprises. Since our architecture is made of software programmable blocks, it becomes a reconfigurable system. We introduce different levels of reconfiguration for body area networks and illustrate how reconfiguration can address several design challenges such as adaptability, reliability and power consumption. Finally, we formulate sampling rate assignment as a means of power reduction while meeting performance specification. Through our formulation, power dissipation can be minimized and at the same time, the desired accuracy of the system is achieved.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
bronze