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Wearable Sensors for Health Monitoring and Diagnostics

This special issue belongs to the section “Point-of-Care Diagnostics and Devices“.

Special Issue Information

Dear Colleagues,

The development of wearable sensors capable of collecting a wide variety of relevant physiological and environmental parameters allows for the acquisition of worker-related signals in a non-intrusive, automatic, and continuous way. Data can be obtained through both custom-made devices (namely, ad hoc ones developed by scientific researchers) and commercial wearable devices. The availability of instruments (such as wearable motion trackers, inertial measurement units, pressure sensors, eye and facial expression tracking devices, smart sensors for temperature, breathing, electrocardiography, electroencephalography, electromyography, and electrodermal activity) offers many opportunities for novel solutions in health monitoring and diagnosis.

Consequently, this Special Issue aims to delineate an emerging branch of science that considers wearable sensors a tool for biomechanical risk assessment and injury prevention, even with the help of artificial intelligence, during work-, home-, sport-, and leisure-related activities. We welcome submissions on the design of novel sensors or commercial wearable technologies and the development of any novel methodology aiming to integrate quantitative physiological information, with and without the use of artificial intelligence, to achieve the main goals of health monitoring and diagnosis. Both research papers and review articles will be considered.

The topics of interest include, but are not limited to, the following fields:

  • Ergonomics and occupational medicine;
  • Wearable, motion, force/pressure, and EMG sensors for ergonomics;
  • Sensors for well-being;
  • Activity-monitoring devices and systems;
  • Machine learning and deep learning for wearable data analysis;
  • Biomechanical risk assessment;
  • Health monitoring in working environments;
  • Work-related musculoskeletal disorders;
  • Novel design approaches for ergonomic assessment;
  • M-health and/or e-health solutions for ergonomics.

Dr. Leandro Donisi
Dr. Carlo Ricciardi
Dr. Alfonso Maria Ponsiglione
Dr. Giuseppe Cesarelli
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 250 words) can be sent to the Editorial Office for assessment.

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. Diagnostics 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
  • health monitoring
  • diagnostics
  • ergonomics and occupational medicine
  • machine learning and deep learning

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Diagnostics - ISSN 2075-4418