USC Schedule of Classes

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 and analysis 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.

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 rehabilitation technology: limb and spinal orthoses; limb prostheses; functional electrical stimulation; sensory aids. Recommended preparation: ME 201 or ME 203

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.

Introduction to biomedical devices with emphasis on microtechnologies and biomedical microelectromechanical systems (bioMEMS). Principles for measurement of small-scale biological phenomena and clinical applications. Recommended preparation: basic biology and electronics

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.

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.

Application of control theory to physiological systems; static analysis of closed-loop systems; time-domain analysis of linear control system identification methods; nonlinear control. Recommended preparation: BME 513.

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.

Graded CR/NC.

All aspects of ultrasonic imaging including ultrasound and tissue interaction, ultrasonic transducers, instrumentation, imaging methods, clinical applications, bioeffects, safety, and recent developments in the field.

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.

Introduction to computational modeling in neuroengineering, anchored in examples of brain function. Topics include transduction, synapses, spiking, networks, normalization, learning, Bayesian models, and Kalman filtering.

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

Current trends and developments in the field of biomedical engineering.

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.

Mathematical theories and computational techniques for modeling physiological systems, with emphasis on cardio-repiratory, metabolic-endocrine, and neuronal functions.

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.