NDLI: A hands-on Bioelectric Potentials course for Electrical Engineering majors

Content Provider	IEEE Xplore Digital Library
Author	Rhodes, S.S. Dunne, B.E.
Copyright Year	2009
Description	Author affiliation: Grand Valley State University, USA (Rhodes, S.S.; Dunne, B.E.)
Abstract	We describe a new course in Bioelectric Potentials, offered to seniors in a 4-year Electrical Engineering program, that integrates bioelectric mechanisms, numerical methods and simulation, hardware design, and technical writing. The course focused on mechanisms governing the generation of bioelectrical signals together with measurement and analysis techniques in muscle and nerve electrophysiology. Topics covered included the Nernst potential; development of action potentials; impulse propagation and nerve conduction; membrane biophysics; excitation-contraction coupling; and the development and management of cardiac arrhythmias. The course incorporated quantitative modeling and simulation learning exercises for data analysis and outcome prediction. Students were exposed to numerical methods for curve fitting, integration, differentiation, and solving ordinary differential equations. The course also incorporated hands-on activities including the building of an ECG amplifier and QRS detector circuit, and the measurement of their own EMG, ECG, and EEG signals using the ADInstruments PTB 32 Teaching System. Technical communication skills, both oral and written, were reinforced through three project reports and in-class presentations of pertinent journal articles. Assessment of student learning and achievement of course objectives will be presented.
Starting Page	1
Ending Page	6
File Size	534981
Page Count	6
File Format	PDF
ISBN	9781424447152
ISSN	01905848
DOI	10.1109/FIE.2009.5350727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bioelectric phenomena Brain modeling Electric potential Predictive models Electrocardiography Numerical simulation Hardware Writing Signal generators Signal analysis Student assessment Bioelectric mechanisms Numerical methods and simulation Technical writing
Content Type	Text
Resource Type	Article
Subject	Education Computer Science Applications Software

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