Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures (Volume II)

Dear Colleagues,

The demographic shift in the population toward an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies, which may be aided by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the cost for healthcare systems and decreasing patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, and play a central role in eHealth architectures. The accuracy of the acquired data relies on the sensors; hence, when considering wearable and BAN sensing integration, they must prove to be accurate and reliable solutions. 

This Special Issue will focus on the current state-of-the-art BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. It will cover novel technological achievements related to different sensing technologies (optical or electronic), their design, and implementation. Both original research papers and review articles describing these current state-of-the-art technologies are welcome. We hope this SI will provide you with an overview of the present status and future outlook of the aforementioned topics. 

The manuscripts should cover, but need not be limited to, the following topics:

• Optical fiber sensing of physiological parameters;
• Wearable biomedical sensors;
• Optical fiber non-invasive devices;
• Optical fiber sensors in eHealth architectures;
• Body area network sensors (BANs);
• Energy efficient eHealth architectures;
• Big data analysis for eHealth;
• Sensors for physical rehabilitation;
• Innovative materials for sensing design;
• Advanced signal processing techniques;
• Applications including, but not limited to, physical rehabilitation, robotics, medical diagnostics and therapy, and cardiovascular and pulmonary rehabilitation.

Dr. Maria de Fátima Domingues
Dr. Ayman Radwan
Dr. Andrea Sciarrone
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.