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Advanced Sensing Technology for Falls Prevention and Rehabilitation

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

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 443

Special Issue Editor


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Guest Editor
Alma Mater Studiorum Università di Bologna, Via Zamboni, 33, 40126 Bologna, Italy
Interests: Human movement analysis; signal processing; wearable sensors; ICT in clinical practice; mobile health

Special Issue Information

Dear Colleagues,

Despite the significant impact of the coronavirus pandemic, lifespans are getting longer while healthy life expectancy is not growing at the same pace. At the same time, the low birth rate is steadily increasing the old-age dependency ratio. Healthcare costs have been rising for decades and healthcare systems will have, by force of circumstances, to rely more and more on Tele-health and to shift from treatment towards prevention of age-related medical conditions. Falls and consequences of falls at old age are very resource demanding. We know that about 30%of falls can be prevented, but current guidelines for fall risk assessment have shown relatively low performance and there are few risk-screening tools available that have been adequately validated. Now more than ever, there is the need to develop, deliver, and put into practice innovative and effective solutions for falls prevention and rehabilitation. Digital tools based on advance sensing technologies are the enabling factor.

The goal of this Special Issue is to reflect the state of the art in this domain. The focus is on physical sensors such as temperature, optoelectronic, mechanical, MEMS & NEMS, magnetic, and others, but emerging technologies such as microwave sensors and photonic sensors are welcome too.

This Issue must clearly show the vital importance of sensing technologies in:

  • the assessment of the risk of falling in supervised and unsupervised settings;
  • the identification and (continuous) monitoring of risk factors (motor and non-motor biomarkers);
  • the improvement of clinical practice of rehabilitation;
  • the delivery of safe and effective rehabilitation programs at home in unsupervised or remotely supervised settings (continuity of care).

The main questions to which the Special Issue intends to answer are: 1) is the maturity level of current solutions high enough?; and 2) can we provide evidence on their efficacy, effectiveness, and sustainability in a real-world setting? We need researchers, professionals, and relevant stakeholders to share their best practices.

Dr. Sabato Mellone
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.

Published Papers

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