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Digital Health Revolution: Advances in Wearable, Epidermal and Implantable Sensors for Medical Applications

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

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1848

Special Issue Editors


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Guest Editor
Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA
Interests: signal processing; machine learning; biomechanics; computational dynamics; development of digital biomarkers, phenotypes, and therapeutics
Special Issues, Collections and Topics in MDPI journals
Department of Mechanical Engineering, University of Hawaii, Honolulu, HI 96822, USA
Interests: wearable sensors; microfluidics; additive manufacturing; multiscale materials; nanoparticles; nanomaterials; MEMS/NEMS fabrication

Special Issue Information

Dear Colleagues,

Advances in wearable, epidermal, and implantable sensors have allowed for objective patient monitoring at an unprecedented scale and granularity. These devices, and the data they provide, are on the cusp of revolutionizing how patients experience healthcare, with broad implications for diagnosing, preventing, monitoring, and treating disease. Such platforms enable continuous monitoring of biophysical and biochemical signals that were previously inaccessible to the field of medicine. The resulting vast expansion of collected data now necessitates the development of new algorithms, data science tools, and analytical approaches to extract meaningful insight relevant to human health. This Special Issue aims to gather novel contributions to the field of wearable, epidermal, and implantable sensors for medical applications. Papers that highlight novel hardware and/or methodological developments, validation of these technologies in human subjects, and systematic reviews of the literature are encouraged. Papers that describe new approaches to collecting and analyzing multimodal data or novel physiological variables are of particular interest. Where appropriate, we strongly encourage authors to deposit their source code, data, and design files in a public repository (e.g., GitHub) to help accelerate progress in this field. Topics of interest include but are not limited to, the following keywords.  

Dr. Ryan S. McGinnis
Dr. Tyler Ray
Guest Editors

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

  • wearable sensors
  • bio-integrated electronics
  • epidermal microfluidics
  • epifluidics
  • lab-on-skin
  • electronic skin
  • wearables
  • sweat analysis
  • sweat
  • human performance
  • epidermal electronics
  • implantable sensors
  • sensor fusion algorithms
  • machine learning applied to wearable sensor data
  • multimodal sensing
  • digital biomarkers
  • digital phenotypes
  • mental health
  • neurological disorders
  • physical rehabilitation
  • older adults
  • digital medicine

Published Papers (1 paper)

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Research

12 pages, 8712 KiB  
Article
A Curvature Sensor Utilizing the Matteucci Effect in Amorphous Wire
by Sahar Alimohammadi, Paul Ieuan Williams and Turgut Meydan
Sensors 2023, 23(3), 1243; https://doi.org/10.3390/s23031243 - 21 Jan 2023
Cited by 3 | Viewed by 1407
Abstract
The study of wearable sensors for human disease monitoring has developed into an important research area due to its potential for personalized health care. Various sensor types have been proposed for assessing the range of joint movement in patients with progressive diseases or [...] Read more.
The study of wearable sensors for human disease monitoring has developed into an important research area due to its potential for personalized health care. Various sensor types have been proposed for assessing the range of joint movement in patients with progressive diseases or following post-surgical treatments. Many of these methods suffer from poor accuracy, sensitivity, and linearity or are very expensive and complex to implement. To overcome some of these limitations, this paper reports on the development of a novel flexible sensor for the measurement of bending by utilizing the Matteucci effect in the amorphous wire. This paper describes a bend sensor that utilizes positive magnetostrictive amorphous wire to achieve a measurement sensitivity equal to 5.68 ± 0.02 mV/cm with a resolution of ±0.2° over a measuring range of 64 to 143°. Full article
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