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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Engineering in ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Engineering in Medicine and Biology Magazine
Article . 2003 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Hands-on learning in biomedical signal processing

Authors: Julie E, Greenberg; Bertrand, Delgutte; Martha L, Gray;

Hands-on learning in biomedical signal processing

Abstract

For 20 years, the Harvard-MIT Division of Health Sciences and Technology (HST) has offered a graduate-level course on Biomedical Signal and Image Processing (HST582J). This course takes a practical, hands-on approach to learning about signal processing and physiological signals through the application of digital signal processing methods to biomedical problems. It is by all accounts a successful course, with steadily increasing enrollment and high student satisfaction. In recent years, we have instituted a number of changes in the course, motivated by our awareness of new pedagogical strategies and assessment techniques. The purpose of this article is to use HST582J as a case study, demonstrating how incremental changes can improve an already successful course and ensure that hands-on exercises are not only fun and interesting but also achieve the desired learning objectives.

Keywords

Models, Educational, Universities, Teaching Materials, Teaching, Biomedical Engineering, Educational Technology, Signal Processing, Computer-Assisted, Problem-Based Learning, United States, Thinking, Education, Professional, Learning, Curriculum, Educational Measurement, Cooperative Behavior, Computer-Assisted Instruction

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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