Special Issue "Low-Power Biomedical Applications"

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

Deadline for manuscript submissions: closed (1 August 2014)

Special Issue Editor

Guest Editor
Prof. Naveen Verma
Department of Electrical Engineering, Princeton University, Engineering Quadrangle Olden Street, Princeton, NJ 08540, USA
Website: http://www.ee.princeton.edu/people/Verma.php
E-Mail: nverma@princeton.edu
Phone: +1 609 258 3500
Fax: +1 609 258 3745
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

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


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¬†¬†

Published Papers (1 paper)

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p. 268-291
by ,  and
J. Low Power Electron. Appl. 2014, 4(4), 268-291; doi:10.3390/jlpea4040268
Received: 25 August 2014; in revised form: 27 October 2014 / Accepted: 4 November 2014 / Published: 14 November 2014
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Last update: 7 April 2014

J. Low Power Electron. Appl. EISSN 2079-9268 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert