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Course Criteria
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3.00 Credits
Neural interfacing refers to the principles, methods, and devices that bridge the boundary between engineered devices and the nervous system. It includes the methods and mechanisms to get information efficiently and effectively into and out of the nervous system to analyze and control its function. This course examines advanced engineering, neurobiology, neurophysiology, and the interaction between all of them to develop methods of connecting to the nervous system. The course builds on a sound background in Bioelectric Phenomenon to explore fundamental principles of recording and simulation, electrochemistry of electrodes in biological tissue, tissue damage generated by electrical stimulation, materials and material properties, and molecular functionalization of devices for interfacing with the nervous system. Several examples of the state-of-art neural interfaces will be analyzed and discussed. Recommended preparation: EBME 401. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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3.00 Credits
This course aims to provide students with a foundation based on "nature's" design and optimization" criteria for engineering tissues and biomaterials. This will be achieved through focused review of the principles of development, wound healing, regeneration, and repair through remodeling, using nature as a paradigm. Principles of transport will be explored quantitatively and in relation to multi-organismal evolution. Cellular engineering principles will be explored, including current state of the art in stem cell physiology and therapeutic applications. Endogenous engineering approaches to surgical tissue reconstruction will be analyzed. An overview of contemporary approaches to tissue and cell engineering will be given, including tissue scaffold design, use of bioreactors in tissue engineering, and molecular surface modifications for integration of engineered tissues in situ. Fundamental engineering principles will be augmented through case studies involving specific applications. Ethical considerations related to clinical non-clinical application of tissue and cell engineering technology will be integrated into each lecture. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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3.00 Credits
Modeling and analysis of dynamic systems. Processing and analysis of signals and images in time and frequency domains. Spatially lumped and distributed linear and nonlinear models. Feedback systems. Optimal parameter estimation. Matrix methods. Initial-and boundary-value problems. Laplace and Fourier transforms. Spectral analysis. Sampling. Filtering. Biomedical applications include enzyme kinetics, hemodialysis, respiratory control, drug delivery, and cell migration. Numerical methods using MATLAB. Prereq: EBME 308 and EBME 309 or equivalent.
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3.00 Credits
Physical principles of medical imaging. Imaging devices for x-ray, ultrasound, magnetic resonance, etc. Image quality descriptions. Patient risk. Recommended preparation: EBME 308 and EBME 310 or equivalent. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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3.00 Credits
The teaching objective is to provide students with a basic understanding of the principles of design and engineering of well-defined molecular structures and architectures intended for applications in controlled release and organ-targeted drug delivery. The course will discuss the therapeutic basic of drug delivery based on drug pharmacodynamics and clinical pharmacokinetics. Biomaterials with specialized structural and interfacial properties will be introduced to achieve drug targeting and controlled release. Offered as EBME 316 and EBME 416. Prereq: EBME 306 and PHRM 309 or graduate standing.
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3.00 Credits
Ion channels are the molecular basis of membrane excitability in all cell types, including neural, heart, and muscle cells. This course presents the structure and the mechanism of function of ion channels at the molecular level. It introduces the basic principles and methods in the ion channel study including the ionic basis of membrane excitability, thermodynamic and kinetic analysis of channel function, voltage clamp and patch clamp techniques, and molecular and structural biology approaches. The course will cover structure of various potassium, calcium, sodium, and chloride channels and their physiological function in neural, cardiac, and muscle cells. Exemplary channels that have been best studied will be discussed to illustrate the current understanding of the molecular mechanisms of channel gating and permeation. Graduate students will present exemplary papers in the journal club style. Recommended preparation: EBME 201 or equivalent. Offered as EBME 317 and EBME 417. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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3.00 Credits
Fundamental concepts of analog design with special emphasis on circuits for biomedical applications. Analysis and design of discrete and integrated circuit amplifiers; application circuits of operational amplifiers; noise measurement; communication circuits; specialized biomedical applications such as circuits for low noise amplification, high CMRR biomedical amplifiers, implantable circuits, circuits for electrochemistry and circuits for optical recordings, circuits for recording neural activity, electrical safety and telemetry. A team project will be required for all students. Recommended preparation: EECS 344 or consent of instructor. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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3.00 Credits
Applications of probability and stochastic processes to biological systems. Mathematical topics will include: introduction to discrete and continuous probability spaces (including numerical generation of pseudo random samples from specified probability distributions), Markov processes in discrete and continuous time with discrete and continuous sample spaces, point processes including homogeneous and inhomogeneous Poisson processes and Markov chains on graphs, and diffusion processes including Brownian motion and the Ornstein-Uhlenbeck process. Biological topics will be determined by the interests of the students and the instructor. Likely topics include: stochastic ion channels, molecular motors and stochastic ratchets, actin and tubulin polymerization, random walk models for neural spike trains, bacterial chemotaxis, signaling and genetic regulatory networks, and stochastic predator-prey dynamics. The emphasis will be on practical simulation and analysis of stochastic phenomena in biological systems. Numerical methods will be developed using both MATLAB and the R statistical package. Student projects will comprise a major part of the course. Offered as BIOL 319, EECS 319, MATH 319, BIOL 419, EBME 419, and PHOL 419.
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3.00 Credits
Biomedical ultrasound technologies including both ultrasound for imaging and as a therapeutic tool. Fundamentals of ultrasound physics, instrumentation, and imaging. Novel imaging techniques with high resolution ultrasound. Ultrasound contrast agents for in vivo targeted imaging. Biomedical effects on cells and tissues. High intensity focused ultrasound for tumor ablation. Ultrasound mediated targeted intracellular drug/gene delivery.
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3.00 Credits
The goal of this course is to provide working knowledge of the theoretical methods that are used in the fields of electrophysiology and bioelectricity for both neural and cardiac systems. These methods will be applied to describe, from a theoretical and quantitative perspective, the electrical behavior of excitable cells, the methods for recording their activity and the effect of applied electrical and magnetic fields on excitable issues. A team modeling project will be required. Recommended preparation: differential equations, circuits. Prereq: Graduate standing or Undergraduate with Junior or Senior standing and a cumulative GPA of 3.2 or above.
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