Biomedical Measurement Systems and Data Science

Michael Insana (University of Illinois, Urbana-Champaign)

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Hardback

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English

Cambridge University Press
17 June 2021

Biomechanics, human kinetics; Biomedical engineering; Biophysics; Nanotechnology; Biotechnology

Discover the fundamental principles of biomedical measurement design and performance evaluation with this hands-on guide. Whether you develop measurement instruments or use them in novel ways, this practical text will prepare you to be an effective generator and consumer of biomedical data. Designed for both classroom instruction and self-study, it explains how information is encoded into recorded data and can be extracted and displayed in an accessible manner. Describes and integrates experimental design, performance assessment, classification, and system modelling. Combines mathematical concepts with computational models, providing the tools needed to answer advanced biomedical questions. Includes MATLAB® scripts throughout to help readers model all types of biomedical systems, and contains numerous homework problems, with a solutions manual available online. This is an essential text for advanced undergraduate and graduate students in bioengineering, electrical and computer engineering, computer science, medical physics, and anyone preparing for a career in biomedical sciences and engineering.

By: Michael Insana (University of Illinois Urbana-Champaign)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 250mm, Width: 173mm, Spine: 23mm
Weight: 910g
ISBN: 9781107179066
ISBN 10: 1107179068
Pages: 404
Publication Date: 17 June 2021
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Michael Insana is a Donald Biggar Willett Professor in Engineering at the University of Illinois at Urbana-Champaign. He is a Fellow of the AIMBE, the IEEE, and the IoP.

Reviews for Biomedical Measurement Systems and Data Science

'a good introductory text on the technical aspects of analyzing measured data sets for graduate students or advanced undergraduates in a premedical or related curriculum … In an increasingly crowded publication space, this book offers something new and valuable, making implementation of data analysis approaches accessible for biomedical scientists and the engineers who work with them … Highly recommended.' M. R. King, Choice Connect