2022-2023 Course Catalog
Welcome to Virginia Tech! We are excited that you are here planning your time as a Hokie.
Welcome to Virginia Tech! We are excited that you are here planning your time as a Hokie.
Broad, multidisciplinary description of concussion as it relates to variety of fields including: medicine, psychology, biomedical research, technology, equipment design, ethics, and law. Concussion modeling, diagnosis and treatment. Testing and instrumentation. Research efforts, credibility and conflicts of interest. Ethical considerations in sports, medicine, and science. Legal implications.
Topics selected to foster professional development of the Biomedical Engineering (BME) student, including training for experiential learning opportunities, such as research, internships, co-ops, and design. Overview of BME specialization and research areas, career pathways, and preparation for interactions with industry, including the regulatory approval process associated with medical device development. Emphasis on teamwork, communication, employment opportunities, the development of a professional portfolio, ethical considerations, additive manufacturing, and engineering documentation using real-world examples and a design sprint/challenges.
Identification, exploration, and evaluation of real-world, complex biomedical engineering problems including safety and ethical considerations. Emphasis on critical thinking, problem solving, group skills, and communication related to the field of biomedical engineering. Literature review and experimental design in biomedical engineering research.
Principles of cell engineering, experiment design, quantitative alyses. Laboratory notebook keeping, report writing and oral presentation in a team setting. Measurement of biological molecules such as DNA, RNA, and proteins. Assessment of animal cell viability, migration, mechanics and interactions with biomaterials. Identification of cell phenotypes.
Principles of biomedical sensors and their usage for experimental design. Collection of biological signals using analog signal amplifiication and filters, biopotentials, digital acquisition, digital filtering and processing. Analysis of physiological signals on living systems with focus on neural, cadiovascular, respiratory, and muscular systems using a group problem solving approach. Instrumental regulation and safety considerations.
Define open-ended biomedical engineering design projects, identify relevant broad social, global, economic, cultural needs, and technical design constraints. Technical skills to address complex biomedical engineering design challenges. Identify and define subjects worthy of future biomedical engineering design projects.
Basic principles of biomechanics. Basic musculoskeletal anatomy. Application of classical mechanics to biological systems. Emphasis placed on mechanical behavior (stress and strain), structural behavior, motion, and injury tolerance of the human body. Biomechanics of medical devices and implants. Advances in safety equipment used in automotive, military, and sports applications.
Introduction to major biomedical imaging modalities. Emphasis on X-rays, computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound, and optical imaging. Essential physics and imaging equations of the imaging system. Sources of noise and primary artifacts. Patient safety and clinical application.
Design and uses of biomedical devices for diagnosis and therapy of human and animal diseases. Disease eiologies, progression, risk factors, and epidemiology. Tissue, organ, and systems dysfunction and failure and relevance to life stages (pediatric, adolescent, adult, aged). Useful characteristics of engineered materials for device fabrication, including biocompatibility. Gaps between medical needs and current medical devices.
Concepts of bioinstrumentation, including: circuits, op amps, signals and noise, filters, sampling theory, origin of biopotentials, electrodes, biopotential amplifiers, the heart and the electrocardiogram (ECG), the brain and the electroencephalogram (EEG), muscle and electromyography (EMG), pulse oximetry, blood pressure, interpreting physiologic measurements, mechanical sensors used in biomechanics research, strain gages, wheatstone bridge, piezoelectric and piezoresistive sensors, accelerometers, load cells, wearable activity sensors, heart rate monitors, consumer grade medical sensors.
Computational and analytical approaches to analyzing biological systems and solving biomedical engineering problems. Problem formulation and exploration of problem-solving techniques to validate computational solutions. Self-directed inquiry and team-based approaches that use reverse engineering, user-in-mind design, and engineering software tools.
Introduction to computational and systems neuroscience. Data analysis and signal processing techniques for neural data. Neural modeling to include mean field models, Hodgkin-Huxley models, integrate and fire models. Neural engineering and brain machine interface (BMI) applications.
4015: Apply biomedical engineering principles to the design of an approved project using the team approach. Develop design and communication skills. Integrate ethical, global and social issues in engineering. 4016: Apply biomedical engineering principles to develop solutions for an approved design project using a team approach. Complete a project resulting in prototype medical device, circuit, or system. Refine design and communication. Integrate ethical, global, environmental and social issues in engineering. Pre: Senior standing for 4015.
4015: Apply biomedical engineering principles to the design of an approved project using the team approach. Develop design and communication skills. Integrate ethical, global and social issues in engineering. 4016: Apply biomedical engineering principles to develop solutions for an approved design project using a team approach. Complete a project resulting in prototype medical device, circuit, or system. Refine design and communication. Integrate ethical, global, environmental and social issues in engineering. Pre: Senior standing for 4015.
An introductory to the principles of medical physiology. Designed primarily for (but not limited to), undergraduate students minoring in biomedical engineering, and other related engineering and physical sciences majors with little or no formal background in biological sciences. Basic principles and concepts of human physiology. Special emphasis on the interactions of human systems biology in their entirety rather than individual genes and pathways. Pre: Junior standing or permission of instructor.
Overview of contemporary technological advances to improving human health. Comparison of healthcare systems, problems, and existing solutions throughout the developed and developing world. Consideration of legal and ethical issues associated with developing and implementing new medical technologies. Recognition and definition of gaps between medical needs and current methods and therapies between developed and developing countries. Conceptually design a novel technology.
Commercialization process applied to translational research. Regulatory aspects of biomedical engineering products and technologies (e.g. devices, diagnostics, drugs, biologics). Intellectual property, technology transfer processes, clinical trial design, commercialization of university research, modeling of development costs (e.g. cash flow and revenue projections). Small business startup approaches.
Anatomy and physiology of biological systems such as cells, tissues, and organs. Experimental techniques for determining the mechanical behavior of biological systems. Simplified mechanics-based mathematical models of biological systems. Specific biological systems include cells, tissues, and organs of the musculoskeletal, cardiovascular, integumentary system, and reproductive systems.
Uncertainty analysis of engineering data, parameters estimation, probability concepts, random variables, functions of random variables, probability-based performance functions and failure modes, risk and reliability functions, probability of failure and safety index, random sequences and stochastic processes, correlation functions and spectral densities, return period and extreme values, failure rates, performance monitoring and service life prediction.
Print this page.
The PDF will include all information unique to this page.