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A MATLAB app to assess, compare and validate new methods against their benchmarks
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Ajo', Shaul, Piaggio, Davide, Taher, Mahir, Marinozzi, Franco, Bini, Fabiano and Pecchia, Leandro (2021) A MATLAB app to assess, compare and validate new methods against their benchmarks. In: Jarm, T. and Cvetkoska, A. and Mahnič-Kalamiza, S. and Miklavcic, D., (eds.) 8th European Medical and Biological Engineering Conference : Proceedings of the EMBEC 2020. IFMBE proceedings, 80 . Springer, pp. 10-21. ISBN 9783030646097
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Official URL: http://dx.doi.org/10.1007/978-3-030-64610-3_2
Abstract
Emerging technologies for physiological signals and data collection enable the monitoring of patient health and well-being in real-life settings. This re-quires novel methods and tools to compare the validity of this kind of in-formation with that acquired in controlled environments using more costly and sophisticated technologies. In this paper, we describe a method and a MATLAB tool that relies on a standard sequence of statistical tests to com-pare features obtained using novel techniques with those acquired by means of benchmark procedures. After introducing the key steps of the proposed statistical analysis method, this paper describes its implementation in a MATLAB app, developed to support researchers in testing the extent to which a set of features, captured with a new methodology, can be considered a valid surrogate of that acquired employing gold standard techniques. An example of the application of the tool is provided in order to validate the method and illustrate the graphical user interface (GUI). The app develop-ment in MATLAB aims to improve its accessibility, foster its rapid adoption among the scientific community and its scalability into wider MATLAB tools.
Item Type: | Book Item | ||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > R Medicine (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Benchmarking (Management) , Benchmarking (Management) -- Mathematical models, Graphical user interfaces (Computer systems), Biomedical engineering -- Statistical methods | ||||||||
Series Name: | IFMBE proceedings | ||||||||
Journal or Publication Title: | IFMBE Proceedings | ||||||||
Publisher: | Springer | ||||||||
ISBN: | 9783030646097 | ||||||||
ISSN: | 1680-0737 | ||||||||
Book Title: | 8th European Medical and Biological Engineering Conference : Proceedings of the EMBEC 2020 | ||||||||
Editor: | Jarm, T. and Cvetkoska, A. and Mahnič-Kalamiza, S. and Miklavcic, D. | ||||||||
Official Date: | 2021 | ||||||||
Dates: |
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Volume: | 80 | ||||||||
Page Range: | pp. 10-21 | ||||||||
DOI: | 10.1007/978-3-030-64610-3_2 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 7 December 2020 | ||||||||
Date of first compliant Open Access: | 30 November 2021 | ||||||||
Title of Event: | 8th European Medical and Biological Engineering Conference | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Portorož, Slovenia | ||||||||
Date(s) of Event: | 29 Nov – 3 Dec 2020 | ||||||||
Related URLs: |
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