Innovation on Wearable Sensors and Algorithms for Physiological Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 25 June 2025 | Viewed by 13568
Special Issue Editor
2. Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02129, USA
Interests: biomedical signal processing; machine learning algorithms; wearable sensors; physiological monitoring
Special Issue Information
Dear Colleagues,
The rapidly evolving digital healthcare ecosystem requires evidence-based digital healthcare innovations that can effectively, efficiently, and safely be deployed at the point of care. The prolific emergence of new technological innovations (e.g., in wearable technologies, biomedical informatics and data science, drawing upon mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences), both in wearable sensors as well as in their supporting algorithms, employed by both the healthcare team and patients, is transforming care delivery models and impacting care delivery and patient care experiences, having the potential to revolutionize the way care is delivered. The use of these solutions can improve productivity, reduce errors, enhance safety, and increase opportunities for patient engagement and shared decision making. Wearable-sensor-based bioengineering approaches that integrate principles from diverse technical and biomedical fields, may provide new understanding, innovative technologies, and new products that improve basic knowledge, human health, and quality of life, of patients with chronic diseases. As patient self-management requires that patients take progressively more responsibility for their day-to-day care, thus becoming a lifelong task in situations of chronic conditions, the development of new patient-friendly and accepted wearable monitoring technologies increases the acceptance and uptake of patient monitoring of chronic conditions and self-management and eventually becomes essential in improving patient outcomes and lowering health care costs.
Fit with the scope of Sensors: The proposed thematic series of papers on “Innovation on Wearable Sensors and Algorithms for Physiological Monitoring” aims to present the state of the art on novel wearable sensor technology and algorithms, opening new possibilities in improving patient monitoring and outcomes.
Dr. Antonis A. Armoundas
Guest Editor
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Keywords
- digital healthcare
- wearable
- ambulatory
- monitoring
- chronic conditions
- algorithms
- biomedical informatics
- data science
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