Advances in Wearable technology for Biomedical Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 2494
Special Issue Editors
Interests: practical application of simulation and healthcare information technology to support clinical decision making; including advances in understanding wearable analytics for human performance assessment
Special Issues, Collections and Topics in MDPI journals
Interests: wearable tech; digital health; bioelectronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of novel detection capabilities, edge computing, and remote monitoring has ushered in a new era for wearable technologies. The ability to non-invasively monitor and detect digital biomarkers from a biomechanical, physiological, and biochemical perspective has the potential to provide key internal and external continuous data to complement clinical decision making. At the forefront lies the need to assess the efficacy of wearable technologies before their adoption by patients. Our goals with this Special Issue are the following:
- Highlight critical path elements required to translate wearable technologies to improve patient satisfaction and outcomes, increase adherence in clinical trials, and decrease nurse burden.
- Review clinical trials involving the use of wearable technology as a complementary diagnostic to augment clinical decision making.
- To provide insight into and forecast how wearable technology and pharmaceutical companies can collaborate towards quantifying the efficacy of therapeutics.
In this Special Issue, we solicit opinion articles, editorials, case studies, primary data, systematic reviews, meta analyses, and narrative reviews that discuss how wearable technology can inform clinical decision making.
Prof. Dr. Colin K. Drummond
Dr. Dhruv R. Seshadri
Guest Editors
Manuscript Submission Information
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Keywords
- wearable technology
- digital biomarkers
- companion diagnostics
- sensors
- clinical decision making
- patient outcomes
- remote monitoring
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