Low-Power Biomedical Applications

A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).

Deadline for manuscript submissions: closed (1 August 2014) | Viewed by 12280

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, Princeton University, Engineering Quadrangle Olden Street, Princeton, NJ 08540, USA
Interests: embedded hardware and algorithmic methods of analyzing physiological data; use of emerging technologies for large-scale sensing systems

Special Issue Information

Dear Colleagues,

In the face of greater challenges than ever, the practice and delivery of healthcare is changing on fundamental levels. Electronics, as demonstrated in numerous application domains before, brings valuable capabilities and the potential to realize these on a very large scale. Both of these are critical aspects for the transformations needed in healthcare today. However, the extent to which electronics will impact healthcare depends on numerous factors, technological, translational, clinical, and logistical. To realize its potential, electronics must address all of these in earnest. This likely implies the need for an ecosystem of technologies, which would include sensors capable of acquiring informative signals, low-energy platforms capable of securely managing on-patient systems, data-centers capable of organizing medical data and knowledge bases, algorithms capable of deriving inferences for high-value decision support, and user-interface technologies for making the ecosystem readily accessible to clinicians and patients.

This Special Issue aims to provide in-depth considerations of these component technologies, but with a perspective on the ecosystem holistically. Expert reviews of the state-of-the-art in any of these areas are encouraged. New research and submissions focusing on speculative technologies or analyses in any of these areas are encouraged. High-level submissions offering quantitative perspectives are especially welcome. Authors are requested to provide both innovative proposals (and/or rigorous analysis) and their assessment of a target technologies potential roles ( as well as the challenges the technology faces in assuming such roles).

Prof. Naveen Verma
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Low Power Electronics and Applications is an international peer-reviewed open access quarterly journal published by MDPI.

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Keywords

  • medical sensors
  • medical imaging
  • instrumentation
  • artifact mitigation
  • low-power processors
  • low-power radios
  • low-power RF
  • body-area networks
  • datacenters
  • data analytics
  • machine learning
  • Big Data
  • biomarker discovery
  • medical modeling  

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Published Papers (1 paper)

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Review

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Review
A Survey of Neural Front End Amplifiers and Their Requirements toward Practical Neural Interfaces
by Eric Bharucha, Hassan Sepehrian and Benoit Gosselin
J. Low Power Electron. Appl. 2014, 4(4), 268-291; https://doi.org/10.3390/jlpea4040268 - 14 Nov 2014
Cited by 33 | Viewed by 11883
Abstract
When designing an analog front-end for neural interfacing, it is hard to evaluate the interplay of priority features that one must upkeep. Given the competing nature of design requirements for such systems a good understanding of these trade-offs is necessary. Low power, chip [...] Read more.
When designing an analog front-end for neural interfacing, it is hard to evaluate the interplay of priority features that one must upkeep. Given the competing nature of design requirements for such systems a good understanding of these trade-offs is necessary. Low power, chip size, noise control, gain, temporal resolution and safety are the salient ones. There is a need to expose theses critical features for high performance neural amplifiers as the density and performance needs of these systems increases. This review revisits the basic science behind the engineering problem of extracting neural signal from living tissue. A summary of architectures and topologies is then presented and illustrated through a rich set of examples based on the literature. A survey of existing systems is presented for comparison based on prevailing performance metrics. Full article
(This article belongs to the Special Issue Low-Power Biomedical Applications)
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