Biosignal Processing and Analysis using Mathcad® - Pedagogical and Research Issues

Biosignal processing and analysis is generally perceived by many students to be a challenging topic to understand, and to become adept with the necessary analytical skills. This is a direct consequence of the high mathematical content involved, and the many abstract features of the topic. The Mathca...

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Published in2006 International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2006; pp. 6177 - 6180
Main Authors Sandham, W.A., Hamilton, D.J.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 2006
Subjects
Biomedical engineering
Biomedical Engineering - education
Biomedical Engineering - methods
Biomedical signal processing
Brain - pathology
Computational Biology - methods
Computed tomography
Curriculum
Digital signal processing
Education
Electrocardiography - methods
Fourier Analysis
Humans
Image analysis
Image Processing, Computer-Assisted
Magnetic analysis
Magnetic resonance imaging
Models, Statistical
Models, Theoretical
Positron emission tomography
Signal Processing, Computer-Assisted
Software
Ultrasonic imaging
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Summary:Biosignal processing and analysis is generally perceived by many students to be a challenging topic to understand, and to become adept with the necessary analytical skills. This is a direct consequence of the high mathematical content involved, and the many abstract features of the topic. The Mathcadreg package offers an excellent algorithm development environment for teaching biosignal processing and analysis modules, and can also be used effectively in many biosignal, and indeed bioengineering, research areas. In this paper, traditional introductory and advanced biosignal processing (and analysis) syllabi are reviewed, and the use of Mathcadreg for teaching and research is illustrated with a number of examples
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ISBN:9781424400324
1424400325
ISSN:1557-170X
DOI:10.1109/IEMBS.2006.259479