Authors:
- Offers simple, step-by-step explanations of quality assessment algorithms that readers can easily implement
- Includes case studies highlighting practical issues and considerations with regard to clinical practice
- A valuable resource for engineers and healthcare professionals alike
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Bioengineering (BRIEFSBIOENG)
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About this book
This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings.Â
In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers.
Authors and Affiliations
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Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Christina Orphanidou
Bibliographic Information
Book Title: Signal Quality Assessment in Physiological Monitoring
Book Subtitle: State of the Art and Practical Considerations
Authors: Christina Orphanidou
Series Title: SpringerBriefs in Bioengineering
DOI: https://doi.org/10.1007/978-3-319-68415-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-68414-7Published: 11 October 2017
eBook ISBN: 978-3-319-68415-4Published: 03 October 2017
Series ISSN: 2193-097X
Series E-ISSN: 2193-0988
Edition Number: 1
Number of Pages: VI, 63
Number of Illustrations: 23 illustrations in colour
Topics: Signal, Image and Speech Processing, Biomedical Engineering/Biotechnology, Health Informatics, Health Care Management
Industry Sectors: Aerospace, Electronics, Engineering, IT & Software, Telecommunications