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BE 411: Biomechanics 3
3.00 Credits
Milwaukee School of Engineering
This course is an introduction to the biomechanics of humanmovement, with applications to occupational, rehabilitation, forensic and sports biomechanics. Topics covered include kinematics; anthropometry; kinetics;mechanical work, energy, and power; synthesis of human movement;musclemechanics; and kinesiological electromyography. (prereq:ME-206, BI-3110)
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BE 411 - Biomechanics 3
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BE 417: Biomedical Electronics 3
4.00 Credits
Milwaukee School of Engineering
This course is similar to BE-306 in philosophy and structure and should be taken immediately following BE-306. It expands the electronics coverage begun in BE-306 and combines it with topics previously studied in biology, chemistry and physiology to developmore complete measurement systems. Of particular interest are the production and distribution of biological signals, such as the ECG, EMG or EEG, and the electrodes and sensitive amplifiers needed to record them.Methods for reducing electrical noise and interference in the signals and conversion between analog and digital forms are included. Electronic feedback principles are applied to enhance systemperformance. (prereq: BI-3110, BE-306)
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BE 417 - Biomedical Electronics 3
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BE 4311: Neural Signals and Systems 3
3.00 Credits
Milwaukee School of Engineering
The objective of this course is to present the principles of signaling in the nervous system. The first part of the class looks atmodels, including the Goldman-Hodgkin-KatzModel, the Hodgkin- HuxleyModel, linear cable theory, and volume conductors, to explain signaling in the nervous system. The second part of the class delves into external stimulation of nerves including waveformproperties, recruitment characteristics, and electrode design. (prereq: senior standing)
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BE 4311 - Neural Signals and Systems 3
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BE 433: Biomedical Digital Signal Processing 3
4.00 Credits
Milwaukee School of Engineering
The objective of this course is to present the principles of digital signal processing and to have students apply thesemethods to the analysis of biological signals such as EEG and ECG. Topics covered include sampling, quantization, discrete-time systemanalysis, Z-transform, discrete and fast Fourier transform, transfer functions and digital filtering. In the laboratory, students are required to design software to performanalysis on various biopotential signals. (prereq: BE-307, BE-261, BI-373, BE-104)
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BE 433 - Biomedical Digital Signal Processing 3
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BE 460: Medical Imaging Systems 3
4.00 Credits
Milwaukee School of Engineering
The objective of this course is to introduce students to themodalities of clinicalmedical imaging. Students will learn the physics of how an image is created and how imaging equipment acquires the image.Medical image processing techniques are also practiced. Topics include image formation, X-ray, computed tomography, ultrasound,magnetic resonance, nuclear and image processing. (prereq: BE-433)
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BE 460 - Medical Imaging Systems 3
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BE 471: Biomedical Control Systems: Analog 4
4.00 Credits
Milwaukee School of Engineering
The objective of this course is to present topics in classical feedback control theory, introduce modern control theory, and to apply these topics to the solution of both classical and biological feedback control problems. (prereq: BE-307, BE-382, BE-417, BI-374)
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BE 471 - Biomedical Control Systems: Analog 4
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BE 472: Biomedical Control Systems: Digital 3
4.00 Credits
Milwaukee School of Engineering
This course is a continuation of BE-471. The topics covered include feedback control system frequency response, discrete-time systems, sampled-data systems, analysis and design of digital control systems, and an introduction to nonlinear systemanalysis. In the laboratory students are required to design, construct and test both analog and digital feedback control systems. (prereq: BE-4810)
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BE 472 - Biomedical Control Systems: Digital 3
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BE 4800: Biomedical Digital Signal Processing 2
3.00 Credits
Milwaukee School of Engineering
The objective of this course is to present the principles of digital signal processing and to have students apply thesemethods to the analysis of biological signals such as EEG and ECG. Topics covered include sampling, discrete-time systemanalysis, Z-transform, discrete and fast Fourier transform, transfer functions and digital filtering. In the laboratory, students are required to design software to performanalysis on various biopotential signals. (prereq: BI-3100, BE-3800)
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BE 4800 - Biomedical Digital Signal Processing 2
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BE 4810: Biomedical Feedback Systems I 3
4.00 Credits
Milwaukee School of Engineering
The objective of this course is to present topics in classical feedback control theory, introduce modern control theory, and to apply these topics to the solution of both classical and biological feedback control problems. The laboratory will allow students to practice the application of feedback on biological systems. (prereq: BI-3110, BE-3800)
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BE 4810 - Biomedical Feedback Systems I 3
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BE 4830: Medical Imaging Systems 3
3.00 Credits
Milwaukee School of Engineering
The objective of this course is to introduce students to themodalities of clinicalmedical imaging. Students will learn the physics of how an image is created and how imaging equipment acquires the image.Medical image processing techniques are also practiced. Topics include image formation, X-ray, computed tomography, ultrasound,magnetic resonance, nuclear and image processing. (prereq: BE-4800)
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BE 4830 - Medical Imaging Systems 3
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