Spring 2020

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.

A thorough bioengineering treatment of the physiological properties of various mammalian organ systems: e.g., cardiovascular, respiratory, renal, and musculoskeletal.

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.

Introduction to drug delivery and biomedical applications of nanoengineered materials, including nanotechnology-based drug delivery, imaging, and tissue engineering approaches. Nanotoxicology and regulatory landscape is included.

Theoretical, quantitative, and experimental methods for understanding and engineering cellular systems for biotechnological applications.

Individual research and readings. Not available for graduate credit.

Current trends and developments in the field of biomedical engineering.

Advanced topics in selected biomedical systems: cardiopulmonary, neuromuscular, renal and endocrine. Duplicates credit in BME 503ab.

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.

Application of control theory to physiological systems; static analysis of closed-loop systems; time-domain analysis of linear control identification methods; nonlinear control.

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.

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.

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.