ENGB 2000 - Biomechanics
Prerequisite: MATH 2214, BIOL 2050, and PHYS 2050
Model and solve problems related to human performance and loading of the musculoskeletal system during functional activities by application of static, dynamic, and hybrid approaches. Topics include: human tissue (soft and hard) modeling; loading and evaluation; force analysis in the joints and muscles; gait analysis and postural stability; task performance; and prosthetic device design, modeling, and challenges for their interaction with biological tissues. Students will apply problem-solving and critical analysis throughout the course in the range of topics toward applying a systems approach for interaction of humans with their environment.
ENGB 3001 - Thermodynamics of Living Systems
Prerequisite: BIOL 2050, CHEM 2050, and PHYS 2050.
An exploration of thermodynamics applied to biological systems at the macro and cellular levels. Topics include: mass (conversion, balances), cellular function, the three laws of thermodynamics (thermal equilibrium, potential and kinetic energies; energy flow and conversion, heat transfer and work, and entropy), and thermodynamic relations. Students apply fundamental principles for problem-solving in physiological systems.
ENGB 3002 - Transport Phenomena
Prerequisite: BIOL 3170, CHEM 2050, and ENGB 3001
Covers fundamental transportation phenomena in living systems with a focus on momentum and mass transport in biological systems. Topics include: material and energy balances, kinetics, chemical and physical transport processes with applications in artificial and bioartificial organ development, controlled drug delivery systems, tissue engineering, thermodynamics, body fluids, osmosis and membrane filtration, blood flow, solute and oxygen transport, pharmacokinetic analysis, and extracorporeal devices.
ENGB 3003 - Biomedical Imaging and Computer Simulation Laboratory
Prerequisite: ENGE 3000 or concurrent
An investigation into a variety of medical imaging technologies by analysis and computation of medical image datasets using Matlab as the medical image processing simulation environment. Students interact with datasets from a variety of imaging modalities and clinical applications including CT and MRI toward image analysis for decision support. Students apply a range of algorithms for image processing and analysis, with an emphasis on understanding the date representations and clinical indicators towards supporting the decision making processes, examining advantages and differences of each imaging modality using simulation software.
ENGB 3004 - Biomedical Instrumentation and Device Fabrication
Prerequisite: ENGE 3000 or concurrent.
The course examines biomedical device design and instrumentation for treatment and diagnostics. Topics may include: bioinstrumentation, biomedical electronics; measurement techniques; sensors (bipotential electrodes, strain transducers, pressure and flow sensors, biochemical sensors) and transducers in signal measurement and conversion of physical (pressure), optical, thermal, and kinetic signals to electrical signals; and subsequent signal processing for decision support. Students will apply fundamental engineering principles in data acquisition and signal processing of data obtained through sensor acquisition, in a range of biomedical applications.
ENGB 4004 - Biomedical Optics
Prerequisites: ENGE 3003 and ENGB 3006.
This course examines optics and the optical properties of tissue. Topics include: spectroscopy (intrinsic absorption, scattering contrast, dynamic contrast, fluorescence, Raman contrast mechanisms), tomography (optical coherence, diffuse optical, photoacoustic), state-of-the-art in technology development in a variety of optical imaging modalities and algorithms, molecular imaging, molecular probe development, assistive technology and clinical practice in disease diagnosis, treatment, and prediction as well as decision support. Students will examine real patient data during discussion of imaging modalities for clinical diagnosis.
ENGB 4005 - Biomedical Signal Processing
Prerequisite: ENGE 3003.
Advanced techniques in biomedical image and signal processing for patient monitoring and diagnostics. Topics include: disease detection and classification, clustering approaches, adaptive filtering, image classification and decision support, imaging modalities (MRI, ultrasound), medical image database and retrieval, and medical image analysis (advanced algorithms, technologies, state-of-the-art modalities). Students examine real-world medical images and signals toward disease detection and classification using a variety of techniques and technologies.
ENGB 4007 - Biosensors
Prerequisite: ENGE 3004.
The course focuses on the purpose, design, fabrication, operation, testing and conformance to design criteria of micro and nano sensors and associated software processes in several biomedical applications, with an emphasis on implantable devices. Topics include: sensor concepts and design criteria (power consumption, operability parameters, sensitivity, sampling, selectivity, linearity, drift, measurement, and detection limitations), sensor acquisition and processing methods, device operability and performance, sensor integration and software processing, microfabrication (silicon-based devices, organic devices), and microarrays.
ENGB 4008 - Computational Biomechanics
Prerequisite: ENGB 2000, ENGB 3006
The course introduces concepts and computational methods in biomedical engineering application, including analytical and numerical approaches to problem solving within this discipline. Concepts of mechanics and computational modeling techniques are applied both theoretically and using Matlab, for a wide variety of biomechanics problems. Topics include: kinematics, equilibrium, stress, strain, macro-level deformations, rotations, and non-linear equations for visco-elastic behavior and fibrous-type structures.
ENGB 4999 - Special Topics in Biomedical Engineering
Prerequisite: ENGB 3006
Selected topics in biomedical engineering are presented throughout this seminar, at an advanced level. Topic coverage is at the discretion of the lecturer; however, theses will include state-of-the-art in biomedical engineering technologies, advanced-level theory, and its application in solving real-world challenges within the selected topic areas.