Smart Sensing Technologies for Human-Centered Healthcare: Research and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 21216
Special Issue Editors
2. School of Mathematics, University of Edinburgh, Edinburgh EH16 4UX, UK
3. Alan Turing Institute, London, UK
Interests: biomedical signal processing; statistical machine learning; time-series analysis; wearable sensors
Special Issues, Collections and Topics in MDPI journals
Interests: mobile health; medical informatics; pervasive computing; artificial intelligence; computerised decision support
Special Issues, Collections and Topics in MDPI journals
Interests: bioelectromagnetics; wearable sensors; implantable sensors; antennas for body area applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart sensing technologies, including wearable sensors, ambient sensors, and smartphone sensor modalities, have been receiving increased research and commercial attention over the last 5–10 years. Indicatively, wearables are now already a strong multi-billion dollar industry, and along with smartphone apps, have been widely embraced by the public to keep track of fitness and health aspects. Similarly, other sensing modalities, including ambient sensing, can be used in innovative ways to inform healthcare provision and have enormous potential in transforming contemporary healthcare delivery. Collectively, the data that are collected from these devices, along with emerging advances in data science and machine learning, are leading to unprecedented opportunities in rethinking human-centered healthcare.
This Special Issue will focus on sensing technologies for healthcare to provide a state-of-the-art forum to report on both algorithmic-focused and application-focused papers, following the organization of the 2022 Pervasive Computing Technologies for Healthcare conference (https://pervasivehealth.eai-conferences.org/2022/).
We invite extensions of some of the best works presented at the conference (authors need to ensure there is at least 50% new content compared to the conference paper), along with papers submitted within the open call, taking also into account the target audience of Sensors.
This Special Issue fits excellently with the aims and scope of Sensors. It aims to provide a forum to document advances in sensor technologies and mining sensor data to improve healthcare. We aim to attract both algorithmic-focused studies and application-focused studies, as long as there is a clear link between the use of sensing technologies (interpreted broadly) and healthcare. Many of the key areas that we will be soliciting manuscripts from align excellently with the keywords that are identified in the formal page of the journal.
Prospective authors are encouraged to contact the Guest Editors in advance if they have any questions.
Dr. Thanasis Tsanas
Dr. Andreas Triantafyllidis
Dr. Asimina Kiourti
Dr. Siddharth Arora
Guest Editors
Manuscript Submission Information
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Keywords
- actigraphy analysis
- wearable sensors
- ambient sensors
- smartwatches
- smartphones
- data mining
- biomedical signal processing and image processing
- pattern recognition
- telemonitoring
- machine/deep learning and artificial intelligence in sensing and imaging
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