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Special Issue "Sensors for Biosignal Processing"
Deadline for manuscript submissions: closed (30 September 2018).
Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
Interests: medical instrumentation, mobile health diagnostics, wearable sensors, biosignal processing, modeling, simulation, and development of novel algorithms to understand dynamic processes and extract distinct features of physiological systems
Special Issues and Collections in MDPI journals
Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409, USA
Interests: biomedical signal processing; non-invasive physiological monitoring; sensors and wireless communication for medical care; machine learning techniques for healthcare data; home monitoring of health and disease
Biomedical Engineering, Universidad Autónoma de San Luis Potosí, SLP 78290, Mexico
Interests: medical instrumentation; mobile health diagnostics; wearable sensors; biosignal processing; modeling, simulation, and development of novel algorithms to understand dynamic processes and extract distinct features of physiological systems
Wearable biomedical sensors—included in devices like smartwatches, smartphones, and smart textiles—have become so ubiquitous that they are increasingly being used as wearable health monitors. By taking advantage of a smart device’s processing power, peripheral noninvasive and cost-effective sensors, and wireless communications capabilities, recent efforts have been made to create various medical applications for self-monitoring. For example, there have been recent advances that allow respiratory rate measurement and cardiac arrhythmia detection, all directly from the video camera of a smartphone without the use of external sensors. More recent advances in smartwatches and smart textiles have allowed useful continuous health monitoring, including of heart rates, respiratory rates, and cardiac arrhythmias including atrial fibrillation. Given the progress to date, this Special Issue aims to publish new advances in biosignal processing algorithms for extracting physiological measurements from smart devices with or without external sensors. Some of the physiological capabilities of interest may include new advances in detection of heart rates, respiratory rates, tidal volume, respiratory sound diagnostics, cardiac arrhythmias, and blood pressure data acquisition and processing. New algorithm development for removing motion artifacts of the above-mentioned physiological measurements that can be applicable for smart wearable devices is also of significant interest for this Special Issue.Prof. Dr. Ki H. Chon
Prof. Dr. Jo Woon Chong
Prof. Dr. Bersaín A. Reyes
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.
- biosignal processing
- wearable devices
- physiological measurements
- vital sign
- health monitoring
- smart textiles
- smart devices
- motion artifacts and machine learning