Special Issue "Low-Cost Sensors and Biological Signals"
Deadline for manuscript submissions: closed (15 September 2020).
2. Faculty of Motor Sciences, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
3. CeREF-Technique, Chaussée de Binche 159, 7000 Mons, Hainaut, Belgium
Interests: motion analysis; rehabilitation; sensors in medicine and health care
2. Service de Physique Nucléaire et Subnucléaire, Université de Mons—UMONS, Research Institute for Complex Systems, Place du Parc 20, 7000 Mons, Belgium
Interests: movement analysis; theoretical physics; biomechanics; sensors in medicine and health care
Special Issues and Collections in MDPI journals
Interests: embedded plateform, e-health, power electronic, sensors
The electrical, chemical, and mechanical activities that occur during various biological events produce signals that can be measured by sensors, followed by storage and subsequent analysis. These biosignals contain valuable information that can be used to understand the underlying physiological mechanisms of specific biological functions, such as blood pressure, body temperature, joint movement, and the electrical activity of the brain, heart, and muscles. Thus, they may be crucial for clinicians and medical diagnosis.
In the last few years, a great variety of sensors dedicated to biosignals have become available at prices typically lower than 100 USD. These sensors are known as “low-cost sensors”, in contrast to the gold-standard materials used in clinical environments and research centers. For example, movement of a joint can be tracked using low-cost 3D cameras, such as Microsoft’s Kinect v2. The use of such sensors in daily clinical practice may greatly favor the collection of big data and allow broader diffusion of evidence-based medicine, which is essential to improve medical practice. Low-cost sensors may also be of interest in virtual- or augmented-reality medical and rehabilitation applications.
However, the use of low-cost sensors is associated with several challenges. Firstly, sensors should be accurate enough to unambiguously compute relevant indicators from biosignals, in particular, in patients with medical conditions. Secondly, the designed sensors should be as non-intrusive and ready-to-use as possible with fast calibration procedures. Third, they require user-friendly and cross-platform interfaces that provide secure data storage and easy data analysis and visualization.
Authors are invited to submit articles to this Special Issue of Sensors “Low-Cost Sensors and Biological Signals” on, but not limited to, the following topics:
- Clinical applications of low-cost sensors;
- Metrological comparison between low-cost sensors and gold-standard sensors;
- Calibration methods;
- Signal processing (including deep-learning techniques);
- Data storage and/or wireless transmission;
- Real-time data processing and visualisation;
- Use of sensors in rehabilitation (biofeedback, virtual reality, augmented reality, etc.);
- Sensor design and noninvasive measurement techniques;
- Ethical and epistemological dimensions of sensor-based medicine.
The Guest Editors thank the full support from the European Regional Development Fund (Interreg FWVl NOMADe) so as to be guest editors of this special issue, especially the financial support of some publications in this special issue.
Dr. Frédéric Dierick
Dr. Fabien Buisseret
Dr. Stéphanie Eggermont
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 2200 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.
- low-cost sensors
- motion analysis
- virtual reality
- signal processing
- physiological signals
- detection of pathologies