Special Issue "Wearable and Ambient Sensors for Healthcare and Wellness Applications"
Deadline for manuscript submissions: closed (1 September 2017).
Prof. Edward Sazonov
Departments of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, USA
Website | E-Mail
Interests: Wearable Sensors; Behavioural Health Informatics; Sensors for Dietary Assessment; Sensors for Smoking Assessment and Cessation; Technology-Driven Interventions; Smart Orthoses and Prostheses; Machine Learning; Deep Learning; Signal Processing
Wearable and ambient sensor technologies are rapidly evolving and extending their reach to critical applications of wellness and healthcare. The progress is driven by advances in sensor technology, computing, wireless communications, signal processing, and pattern recognition. Ambient intelligence integrates into the home environment and allows for transparent, unobtrusive monitoring for sensitive populations such as frail adults. Wearable technologies allow to extend the monitoring into the community and have been used in many research and clinical applications, including monitoring of healthy, elderly and frail individuals, individuals with neurological disorders (stroke, Parkinson’s disease, etc.), measuring levels of physical activity in disease-association studies and developing behavioral interventions. Combined, ambient and wearable sensors create unique capabilities of continuous behavioral and physiological monitoring at home and in the community.
The goal of this Special Issue is to highlight state of the art applications of ambient and wearable sensors with focus on wellness and healthcare applications of the technology. Of special interest is research work that combines ambient and wearable sensing approaches into a unified framework; applications of wearable and/or ambient sensors for continuous assessment of physiology or behaviors; use of sensors in just-in-time interventions. Additionally of interest are advances in the design of the on-body and ambient sensors; associated electronics and software; signal processing; pattern recognition; analysis of high-density sensor data; inferring health and behavioral states from the sensor data; application of ambient and wearable sensors in wellness and healthcare.
We invite you to submit original unpublished work on the listed or related topics.
Prof. Dr. Edward Sazonov
Prof. Dr. Subhas Chandra Mukhopadhyay
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 papers will be 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 1800 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.
- Wearable sensors
- Ambient Intelligence
- Connected Sensors for the Internet of Things
- Smart Textiles
- Flexible Electronics
- Printed Electronics
- Biochemical sensors
- On-body energy harvesting
- Low-power electronics
- Mobile health
- Biomedical Instrumentation
- Human behavior monitoring
- Physiological sensors
- Home monitoring
- Physical activity
- Ubiquitous sensing
- Affective computing