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Challenges and Future Trends of Sensing Technology—Applications in Sustainable E-health

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 296

Special Issue Editors


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Guest Editor
CNRS, Biomechanics and Bioengineering BMBI UMR 7338, Centre de Recherche Royallieu, Université de Technologie de Compiègne, Alliance Sorbonne Université, CEDEX CS 60 319, 60 203 Compiègne, France
Interests: biomedical signal processing and modeling; electrophysiological instrumentation; E-health
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
CNRS, Biomechanics and Bioengineering BMBI UMR 7338, Centre de Recherche Royallieu, Université de Technologie de Compiègne, Alliance Sorbonne Université, CEDEX CS 60 319, 60 203 Compiègne, France
Interests: biomedical signal processing; connected objects; E-health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The ambulatory monitoring of the environmental state and physiological parameters of humans for wellbeing and medical applications needs new sensors with reliable precision, miniaturization, and low power/resource consumption for sustainable applications in terms of ecological context. This actual challenge lies not only in sensor technology but also in signal processing algorithms considering noise presence, uncertainty, and sparse modalities/channels. Other challenges are linked to developing low-consumption and robust AI approaches potentially trained on reduced biomedical databases.

In this Special Issue, researchers are invited to submit contributions describing a new approach for sensing in E-Health applications including the innovative technology of sensors and hardware architecture, multimodal and multichannel signal processing algorithms, and robust and optimized AI. All proposed contributions should also be precise in the proposed sustainable measures considering their application.

Potential topics include, but are not limited, to the following:

  • Reusable/low resource smart sensors;
  • Sensor fusion algorithms and input dimensionality reduction;
  • Sparse and robust multichannel signal processing;
  • Low consumption and robust AI algorithms;
  • Possible applications: ambulatory monitoring, chronic disease or post-surgery monitoring, physiological state detection (ex: sleep, stress, rare event detection), telemedicine.

Prof. Dr. Sofiane Boudaoud
Prof. Dr. Dan Istrate
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable embedded sensors
  • biomedical signals
  • low consumption AI
  • optimized signal processing
  • sustainable E-health applications

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Published Papers

There is no accepted submissions to this special issue at this moment.
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