Spring 2019

Historical development and survey of major areas comprising biomedical engineering: theoretical neurobiology and systems physiology, biomedical instrumentation, artificial organ and prosthetic devices, biomedical computer applications.

Examination of the technical and practical challenges involved in the development of medical devices, including neural implants, in industry and the clinical setting. Recommended preparation: BME 101.

Computational methods for simulation of circulatory, respiratory, pharmacokinetic, and neural models. Quadrature, differential equations, systems of linear equations, simulation languages, experimental statistics.

Electronic design and measurements for medical applications. Use of integrated circuits, biopotential measurements, static and dynamic calibration of physiological transducers.

Concepts of computer-aided design in 2-dimensions and 3-dimensions. Creating advanced parts using extrusions, surfaces, and equation driven sketches. Forming assemblies, and sub-assemblies, for motion analysis

An introduction to the structural and functional elements common to nervous systems, with emphasis on cellular dynamics, interneuronal communication, sensory and effector systems.

Application of instrumentation and measurement techniques to biomedical engineering projects involving measurement, replacement or augmentation of biomedical systems.

Application of principles of physical chemistry, biochemistry, and materials engineering to biomedical problems, e.g., materials selection and design for implants and tissue replacement.

Biomedical engineering and technology applied to oral health professions. Dental biomaterials, CAD-CAM, digital dental technology and tissue engineering applications to craniofacial diseases, disorders, and enhancements. Recommended preparation: junior standing.

An introduction to the process of medical product development with emphasis on the regulations that govern the design, fabrication, and maintenance of medical products. Junior standing. Departmental approval required.

Engineering principles in design, modeling, and analysis of biomedical innovations will be presented to develop creative solutions for real-world medical problems or treatment implementation. Co-requisite: BME 405L. Recommended preparation: BME 416.

Application of chemical engineering principles to biological and biochemical processes and materials. Design of biochemical reactors and of processes for separation and purifications of biological products.

Individual research and readings. Not available for graduate credit.

Integration of biomedical science, engineering principles and state-of-the-art technology for the study of selected physiological systems in the laboratory setting. Laboratory.

Introduction to micro-/nano-technologies, microscopy, single-cell techniques, materials, surface chemistry, pathology, cancer, immunology, cell therapy, and grant writing in biomedical research.

Classification; representation; statistical analysis; orthogonal expansions; least-squares estimation; harmonic analysis; Fourier, Laplace, and Z transforms; the linear system; filtering; modeling and simulation; linear control theory.

Acquisition, analysis, and display of biological data using digital computers; laboratory applications of digital signal processing and real time analysis. Prerequisite: 513.

Advanced scientific and engineering principles of biomedical imaging including magnetic resonance, X-ray computed tomography, ultrasound, and single photon and positron emission tomography. Prerequisites: BME 513 or EE 483. Open only to master and doctoral students.

Picture archive communication system (PACS) design and implementation; clinical PACS-based imaging informatics; telemedicine/teleradiology; image content indexing, image data mining; grid computing in large-scale imaging informatics; image-assisted diagnosis, surgery and therapy.

Computational methods for simulation and analysis of metabolic networks, cellular signaling pathways, and gene regulatory networks. Biochemical kinetics, differential equations, stability analysis, sensitivity analysis.

Principles and biomedical applications of micro-electromechanical systems (MEMS) and nanotechnology, including microfluidics, nanowire sensors, nanomotors, quantum dots, biofuel cells and molecular imaging. Recommended preparation: Basic Biology and Electronics.

Advanced studies of the basic neuroscience, engineering design requirements and technological issues associated with implantable neural prostheses, with paticular emphasis on retinal and cortical function.

Interdisciplinary approach to impart the skills, knowledge and familiarity with stages of collaborative projects related to medical device and methods innovation in healthcare settings. Open only to Health, Technology and Engineering majors.

Interdisciplinary approach to impart the skills, knowledge and familiarity with stages of collaborative projects related to medical device and methods innovation in healthcare settings.

Learning from cases illustrating paths from healthcare problems to solutions. Faculty, students and invited guests will provide examples of both successful and unsuccessful innovation attempts. Concurrent enrollment 566d. Open only to Health, Technology and Engineering students.

Design and simulation of CMOS and nano electronic circuits modeling brain cells, including neurons and glial cells; low-power design; simulation laboratory.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of thesis. Graded IP/CR/NC

Credit on acceptance of thesis. Graded IP/CR/NC

Credit on acceptance of thesis. Graded IP/CR/NC

Design of measurement systems and biomedical instrumentation; architecture of electronic instruments used to measure physiological parameters; analysis of major process functions integrated in these instruments. Open to M.S., Medical Device and Diagnostic Engineering and biomedical engineering Ph.D students only. Recommended preparation: BME 513.

Research applicable to the doctorate. Graded CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of Dissertation. Graded IP/CR/NC.