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Graduate Calendar Archives: 2007 / 2008

Ottawa-Carleton Institute for Biomedical Engineering


Carleton University
Minto Centre, Room 3090
1125 Colonel By Drive
Ottawa, ON, Canada K1S 5B6
Telephone: 613-520-5659
Fax: 613-520-3899
Web site:

Please consult the Institute's Web site for application information.

The Institute

Director of the Institute: Rafik Goubran
Associate Director of the Institute: Michael Munro

Established in 2006, The Ottawa-Carleton Institute for Biomedical Engineering combines resources from seven participating academic units:

Carleton University

  • Department of Systems and Computer Engineering (SCE)
  • Department of Mechanical and Aerospace Engineering (MAE)
  • School of Computer Science (SCS)
  • Department of Physics (PHYS)

University of Ottawa

  • Department of Mechanical Engineering (MCG)
  • School of Information Technology and Engineering (SITE)
  • Department of Chemical Engineering (CHG)

A student is admitted to one of the above participating academic units and is assigned a supervisor or co-supervisor from one of these units.

The Institute draws on the expertise of two participating medical research units: the University of Ottawa Heart Institute and the University of Ottawa Eye Institute. It also draws on the expertise of prominent researchers from other academic units in the two universities and medical professionals from hospitals and well-established medical research institutions. The members of the Institute listed below can act as supervisors.

Members of the Institute

The home department of each member is indicated by:

APA Human Kinetics (Ottawa) BIOL Biology (Carleton)
CHG Chemical Engineering (Ottawa)
CMM Cellular and Molecular Medicine (Ottawa)
DOE Electronics (Carleton)
MAE Mechanical and Aerospace Engineering (Carleton)
MAT Mathematics and Statistics (Ottawa)
MATH Mathematics and Statistics (Carleton)
MCG Mechanical Engineering (Ottawa)
OEI Eye Institute (Ottawa)
OHI Heart Institute (Ottawa)
ORA Audiology and Speech Language Pathology (Ottawa)
PED Pediatrics (Ottawa)
PHYS Physics (Carleton)
PHYO Physics (Ottawa)
PSY Psychology (Carleton)
SCE Systems and Computer Engineering (Carleton)
SCS School of Computer Science (Carleton)
SID School of Industrial Design (Carleton)
SITE Information Technology and Engineering (Ottawa)
TRC Rehabilitation Centre (Ottawa)

  • T. Aboulnasr, Digital signal processing, applications in communications (SITE)
  • A. Adler, Medical image processing, electrical impedance tomography, physiological monitoring, biometrics (SITE)
  • M. Ahmadi, Robotic analysis, design, and control, machine and biological locomotion, mechatronics, simulation, virtual reality, distributed and real-time control (MAE)
  • V. Aitken, Distributed processes, process control (SCE)
  • A. Banihashemi, Information and coding theory, bioinformatics and genetic coding, image and video processing and transmission (SCE)
  • M. Barbeau, Telecommunications software, distributed systems, mobile and wireless networks (SCS)
  • J.C. Beddoes, Physical metallurgy and metal processing (MAE)
  • R. Bell, Finite element analysis, stress analysis, solid mechanics, fracture mechanics (MAE)
  • L. Bertossi, Database and intelligent information systems, knowledge representation (SCS)
  • M. Bouchard, Signal processing, adaptive filtering, neural networks, speech processing, broadband access networks (SITE)
  • Y. Bourgault, Numerical methods, mathematical modeling (MAT)
  • L. Briand, Software reliability and certification (SCE)
  • A.D.C. Chan, Biological signal processing, physiological monitoring, pattern recognition (SCE)
  • J.J. Cheetham, Membrane biochemistry, bioinformatics (BIOL)
  • A. Cuhadar, Image-video processing and compression, high-performance computing algorithms, medical imaging, speaker verification/identification, voice authentication (SCE)
  • R.M. Dansereau, Digital signal and image processing, biomedical and biometric applications, fractal and multifractal complexity measures: Rényi dimension measures, wavelets (SCE)
  • R. deKemp, Medical physics (OHI/PHYS)
  • F. Dehne, Parallel processing, coarse grained parallel computing, parallel computational geometry, parallel data mining, parallel computational biology (SCS)
  • D. Deugo, Large-scale distributed object computing, evolutionary computation (genetic algorithms, genetic programming, artificial life) and object-oriented systems (SCS)
  • M. Dubé, Polymer reaction engineering, adhesives and coatings from emulsion polymers, pilot plant testing of new sensor technology, parameter estimation (CHG)
  • E. Dubois, Digital signal processing, multidimensional signal processing, data compression, source coding, image/video processing and coding (SITE)
  • M. Dumontier, Bioinformatics, drug discovery, cell simulation, genome biology (BIOL)
  • C. Ennett, Medical informatics, medical decision support systems (SCE)
  • A. Fahim, CAD/CAM, controls (MCG)
  • L. Frankel, User interfaces and industrial design (SID)
  • M. Frize, Biomedical instrumentation, clinical engineering, infrared imaging, decision-support systems in medicine, ethics in engineering and human experimentation (SCE/SITE)
  • N.D. Georganas, Multimedia communications, computer communications (SITE)
  • D.T. Gibbons, Digital and biomedical electronics, computer engineering (SITE)
  • C. Giguère, Audiology and hearing aids (ORA)
  • R.A. Goubran, Signal processing, sensors, digital systems design, adaptive systems, beam-forming, heart and lung sound analysis, smart homes, echo and noise cancellation (SCE)
  • J.R. Green, Bioinformatics, machine learning, nonlinear system identification (SCE)
  • M. Griffith, Artificial human tissues, tissue equivalents and stem cells for in vitro testing and transplantation (CMM)
  • J. Gu, Transport phenomena in micro-scale processes, direct methanol fuel cells (MAE)
  • H. Haddad, Cardiology (OHI/SCE)
  • M.J.D. Hayes, Space robotics, automated optical robot calibration systems, robot mechanical systems, theoretical kinematics (MAE)
  • B.J. Jarosz, Medical physics (PHYS)
  • B. Jodoin, Thermofluids, plasma physics (MCG)
  • P. Johns, Medical physics (PHYS)
  • M. Johnson, Combustion/fluid mechanics (MAE)
  • J. Kelly, Central auditory system, electrophysiology and behaviour (PSY)
  • F.D. Knoefel, Geriatric rehabilitation, role of technology in 'aging in place' (SCE)
  • T. Kovesi, Respirology (SCE)
  • E. Kranakis, Communication networks, distributed computing, network security (SCS)
  • T. Kunz, Mobile, Pervasive, and ubitquitous computing, wireless network protocol (SCE)
  • M. Labrosse, Mechanics of heart valve and cardiovascular tissues, mechanical aspects in development of cardiovascular diseases, friction and fatigue life of materials (MCG)
  • R. Laganière, Computer vision, image processing (SITE)
  • M. Lamontagne, Muscoskeletal knee joint model, mechanical effect of functional knee braces, plantar pressure distribution during winter sports (APA/MCG)
  • C. Lan, Biochemical engineering, separation technology (CHG)
  • R. Langlois, Flexible multibody dynamics; vehicle dynamics, aircraft/ship dynamic interface analysis, mathematical modeling simulation, postural stability (MAE)
  • W. Lee, Face recognition, human-computer interaction, VR in health care (SITE)
  • F. Leenen, Brain mechanisms determining sympathetic hyperactivity, the role of circulatory versus cardiac renin-angiotensin system in cardiac hypertrophy and remodeling, and antihypertensive agents and the heart (OHI)
  • E. Lemaire, Physical rehab distance communication (TRC/APA)
  • G. Lindgaard, User interfaces and human computer interaction (PSY)
  • X.P. Liu, Interactive networked systems, robotics, intelligent systems, sensor networks (SCE)
  • A. Longtin, Nonlinear dynamics, biophysics (PHYO)
  • J. Lougheed, Cardiology (SCE)
  • L. MacEachern, VLSI, analog IC design, image sensors (DOE)
  • S.A. Mahmoud, Wireless networks, distributed databases, radio packet switching (SCE)
  • Y. Mao, Graphical models and statistical inference, communications, bioinformatics (SITE)
  • E.A. Matida, Pharmaceutical aerosols (inhalation devices), large eddy simulation (MAE)
  • J. Mercer, Electronic health records (SCE)
  • S. Mills, Data mining, applied statistics, decision support, classification and pattern recognition, dynamic network analysis (MATH)
  • R. Munger, Medical photonics (OEI/PHYO)
  • M.B. Munro, Composite materials (MCG)
  • T. Mussivand, Medical devices design, evaluation (in vitro, in vivo, clinical), artificial heart sensors, valves and prosthetics (OHI/MAE)
  • R. Naguib, Medical informatics, medical decision support systems (SCE)
  • D. Nussbaum, Computational geometry, medical computing, parallel and distributed computing, geographic information systems, robotics and machine vision, data structures and algorithms (SCS)
  • D. Panario, Discrete mathematics and algorithms, finite fields and applications (MATH)
  • P. Payeur, 3-D modeling for robotics, computer vision, autonomous systems (SITE)
  • D.C. Petriu, Performance evaluation, software engineering, database systems (SCE)
  • E.M. Petriu, Robotics, sensing and perception, neural networks (SITE)
  • L. Peyton, Software engineering, e-commerce, and business process automation (SITE)
  • G. Robertson, Sport biomechanics, human locomotion, energetics of human motion (APA)
  • D.L. Russell, Dynamics, controls, medical device design (MAE)
  • J. Ryan, Hearing aids, signal processing (SCE)
  • J. Sack, Algorithms and complexity, computational geometry, geographic information systems, spatial modeling, medical computing (SCS)
  • P. Stys, Mechanisms of anoxic injury in white matter (SCE/CMM)
  • H. Sveistrup, Physiotherapy (APA)
  • N. Tait, MEMS, sensors, IC fabrication (DOE)
  • N.G. Tarr, Solid state devices, IC fabrication (DOE)
  • S. Tavoularis, Fluid mechanics, experimental techniques (MCG)
  • D. Taylor, Computer-assisted learning, object-oriented design (CHG)
  • H. Tezel, Adsorption and diffusion for separation and biomedical applications, gas and liquid separations for industrial applications, environmental air and water pollution control (CHG)
  • A. Tremblay, Membrane science and technology, interfacial phenomena (CHG)
  • M. Turcotte, Bioinformatics, algorithm design, applications of machine learning (SITE)
  • P. van Oorschot, Authentication, software security, network security, applied cryptography, software protection, security infrastructures (SCS)
  • H. Viktor, Data mining and machine learning, health informatics (SITE)
  • G. Wainer, Discrete event simulation, modeling and simulation methodologies, parallel and distributed simulation, real-time systems (SCE)
  • R. Walker, Medical informatics, medical decision support systems (SCE)
  • T. White, Mobile agents, swarm and collective intelligence, evolutionary computing (artificial life, genetic algorithms, programming), Internet applications, peer-to-peer computing (SCS)
  • M. Yaras, Cardiovascular assist devices, turbomachinery, aerodynamics, computational fluid dynamics (MAE)
  • Y. Zhao, Applied probability, algorithms and simulation (MATH)

Master's Program

The Ottawa-Carleton Institute for Biomedical Engineering offers a multi-disciplinary Master of Applied Science degree (M.A.Sc.) in Biomedical Engineering. The program has four fields:

  1. Medical Instrumentation:
    This field presents the principles of physiological measurements for diagnostic, therapeutic, and monitoring applications, as well as the design of the medical devices for these applications. Medical instrumentation encompassed in this specialization include devices for cardiology, lung function, cerebral and muscular signals, surgery and anesthesiology, ultrasound, and other more specialized devices used for infants and neonates. Students will be provided with an understanding of related physiological systems, including the cardiovascular system and electrophysiology. Students will learn the various topics concerned with data acquisition systems, including electrochemistry, transducers, amplifiers, filters, and safety. Noise reduction, signal enhancement, visualization, and automated diagnostic techniques will also be discussed.
  2. Biomedical Image Processing:
    This field involves acquisition and analysis of images relevant to medicine and biotechnology, such as MRI (magnetic resonance imaging), CT (computed tomography), ultrasound, nuclear medicine, and optical microscopy. These modalities generate a wealth of information that must be distilled, presented and communicated in an efficient and timely manner. Statistical counting noise and systematic biases are always present and hinder the extraction of information from the signals. Challenges exist in image display and filtering, feature detection, pattern recognition, and in the interchange, manipulation, compression, short-term storage, and archiving of the images. Recent technical advances in this field include interchange standards such as DICOM, lossy and lossless compression standards, teleradiology, and Picture Archiving and Communications Systems (PACS). A new tool for the radiologist is Computer Aided Diagnosis (CAD) in which computer analysis provides the equivalent of a 'second reader' of the image, pointing out areas suspect for disease.
  3. Biomechanics and Biomaterials:
    This field involves the kinematics and kinetics relevant to human anatomy. Students will be exposed to kinematics relating to human motion, including linear, angular, and nonlinear analyses, and fluid mechanics relating to human physiology (e.g. blood flow), including topics such as flow, resistance, and turbulence. Such analyses are useful for diagnostics (e.g. gait analysis) and device evaluation (e.g. heart valve design). Also included is the design of prostheses and implants, with topics concerning mechanics, biocompatibility of materials, and human interaction with engineered devices.
  4. Medical Informatics and Telemedicine:
    This field encompasses the various issues associated with computing technologies in the health care system, medical databases, and tele-medicine. Students will be given an understanding of the operation of the health care system, with an overview of the system and its participants, fundamental biophysical measurement and sensors, and medical management technologies. Included are issues concerning the Canadian health care system, as well as considerations for developing countries. Students will also be exposed to topics associated with biological and medical databases, including database establishment and maintenance, data mining, and automated decision support systems. Tele-medicine, which is concerned with the remote delivery of health care, introduces new technological issues and applications, including wireless access, remote patient monitoring, distributed databases, and mobile computing systems.

Admission Requirements

The normal requirement for admission is a four-year bachelor's degree in engineering, science, computer science, or a related discipline, with an average of at least B+.

Program Requirements

1. Completion of the two compulsory courses (1.0 credit):

  • BIOM 5001 (BMG 5101) (0.5 credit)
  • BIOM 5002 (BMG 5102) (0.5 credit)

2. Completion of two courses (1.0 credit in total) from one of the four fields (including one of its core courses), listed in Graduate Courses below.

3. Completion of two courses (1.0 credit in total) at the graduate level offered by Carleton University or the University of Ottawa, with the approval of the student's supervisor.

4. Completion of the Biomedical Engineering Seminar course BIOM 5800 (BMG 5800) (0.0 credit).

5. Completion and successful oral defence of a research thesis BIOM 5909 (BMG 5909) (2.0 credits).

Graduate Courses

Students in this program may choose elective graduate courses from either university, with the approval of their program advisor. All courses are 0.5 credit (one term's duration) with the exception of BIOM 5800 (BMG 5800) (0.0 credits) and BIOM 5909 (BMG 5909) (2.0 credits). Only a selection of courses listed is given in a particular academic year. For information on courses offered in a given year please consult the Institute's web site (


  • University of Ottawa course numbers are in parentheses.
  • Course descriptions for Biomedical Engineering courses BIOM 5xxx (BMG 5xxx) are listed at the end of this section.
  • The course descriptions for other courses are listed in the calendar under the department offering the course.
  • Given that the students admitted to this program are from different academic backgrounds, any elective course listed in this program can only be taken by qualified students who satisfy the prerequisites.

Compulsory Courses

  • BIOM 5001 (BMG 5101)
  • BIOM 5002 (BMG 5102)

Program Fields

  1. Medical Instrumentation
    • Core courses
      • BIOM 5100 (BMG 5103)
      • BIOM 5101 (BMG 5104)
    • Suggested Elective Courses
      • SYSC 5600 (ELG 6160)
      • SYSC 5602 (ELG 6162)
      • SYSC 5603 (ELG 6163)
      • SYSC 5604 (ELG 6164)
      • MECH 5302 (MCG 5332)
      • ELEC 5707 (ELG 6377)
      • EACJ 5100 (ELG 5163)
      • EACJ 5305 (ELG 5108)
      • EACJ 5401 (ELG 5104)
      • EACJ 5509 (ELG 5378)
  2. Biomedical Image Processing
    • Core courses
      • BIOM 5200 (BMG 5105)
      • BIOM 5201 (BMG 5201)
    • Suggested Elective Courses
      • BIOM 5202 (BMG 5107)
      • BIOM 5203 (BMG 5203)
      • EACJ 5509 (ELG 5378)
      • PHYS 5204 (PHY 5112)
  3. Biomechanics and Biomaterials
    • Core Courses
      • BIOM 5300 (BMG 5300)
      • BIOM 5301 (BMG 5301)
      • BIOM 5302 (BMG 5302)
    • Suggested Elective Courses
      • BIOM 5303 (BMG 5303)
      • BIOM 5306 (BMG 5306)
      • BIOM 5311 (BMG 5311)
      • BIOM 5312 (BMG 5312)
      • BIOM 5314 (BMG 5314)
      • BIOM 5315 (BMG 5315)
      • BIOM 5316 (BMG 5316)
      • BIOM 5323 (BMG 5323)
      • BIOM 5330 (BMG 5330)
      • MAAJ 5107 (MCG 5117)
      • MAAJ 5502 (MCG 5152)
      • MAAJ 5703 (MCG 5173)
      • MAAJ 5707 (MCG 5177)
      • MECH 5107 (MCG 5317)
      • SYSC 5402 (ELG 6142)
      • SYSC 5502 (ELG 6152)
  4. Medical Informatics and Telemedicine
    • Core Courses
      • BIOM 5400 (BMG 5400)
      • BIOM 5401 (BMG 5401)
    • Suggested Elective Courses
      • BIOM 5402 (BMG 5402)
      • COMP 5101 (CSI 5311)
      • COMP 5108 (CSI 5126)
      • COMP 5407 (CSI 5116)
      • COMP 5503 (CSI 5115)
      • COMP 5704 (CSI 5131)
      • STAT 5501 (MAT 5191)
      • STAT 5600 (MAT 5190)
      • STAT 5602 (MAT 5317)
      • STAT 5701 (MAT 5198)
      • STAT 5703 (MAT 5181)
      • STAT 5704 (MAT 5174)
      • STAT 5902 (MAT 5992)
      • SYSC 5006 (ELG 6106)
      • SYSC 5105 (ELG 6115)
      • SYSC 5207 (ELG 6127)
      • SYSC 5306 (ELG 6136)
      • SYSC 5608 (ELG 6168)
      • SYSC 5701 (ELG6171)
      • SYSC 5800 (ELG 6180)

Biomedical Engineering Courses

BIOM 5001 [0.5 credit] (BMG 5101)
Engineering Analysis and Modeling of Human Anatomy and Physiology
Engineering systems approaches to analysis and modeling of human anatomy and physiology system. Mechanical and electrical properties of tissues. Muscoskeletal, cardiovascular and pulmonary systems.
Precludes additional credit for MAAJ 5307 (MCG5137A).
BIOM 5002 [0.5 credit] (BMG 5102)
Ethics, Research Methods and Standards for Biomedical Engineering
Ethical theories, ethical decision-making, codes; human and animal experimentation, consent, practices of ethical review boards; research methods and regulations for design, manufacture, certification of medical devices; data collection, management, analysis, including security, confidentiality, privacy; bioethical dilemmas, impact of technology and research (social, political, financial).
Precludes additional credit for ELG 7114 (EACJ 5300).
BIOM 5100 [0.5 credit] (BMG 5103)
Medical Instrumentation
The course covers instrumentation designed to measure physiological variables related to the function of the heart, lungs, kidney, nervous and musculo-skeletal system; imaging technologies; emergency, critical care, surgery and anaesthesia equipment. The concept of technology assessment is discussed.
Precludes additional credit for SYSC 5302 (ELG 6320).
Prerequisite: permission of the instructor.
BIOM 5101 [0.5 credit] (BMG 5104)
Biological Signal Acquisition and Modeling
Mathematical modeling of neuromuscular signals. Electrochemical potentials and action potentials. Effects of tissue, electrode configuration, and electrode size and shape on the measurement of neuromuscular signals.
Prerequisite: permission of the instructor.
BIOM 5200 [0.5 credit] (BMG 5105)
Biomedical Image Processing
Mathematical models of image formation based on the image modality and tissue properties. Linear models of image degradation and reconstruction. Inverse problems and regularization for image reconstruction. Image formation in radiology, computed tomography, magnetic resonance imaging, nuclear medicine, ultrasound, positron emission tomography, electrical impedance tomography.
BIOM 5201 [0.5 credit] (BMG 5201)
Introduction to Medical Imaging Principles and Technology
Basic principles and technological implementation of x-ray, nuclear medicine, magnetic resonance imaging (MRI), and other imaging modalities used in medicine. Contrast, resolution, storage requirements for digital images. Applications outside medicine, future trends.
Precludes additional credit for PHYS 5201.
Prerequisite: permission of the Physics department.
BIOM 5202 [0.5 credit] (BMG 5107)
Wavelet Applications in Biomedical Image Processing
Introduction to wavelet analysis and processing techniques for the quantification of biomedical images and signals. Topics include: multiresolution algorithms for denoising and image restoration, multiscale segmentation and classification for computer aided diagnosis and compression.
Prerequisite: SYSC 5602/ELG 5376 and BIOM 5200/BMG 5105, or permission of the instructor.
BIOM 5203 [0.5 credit] (BMG 5203)
Advanced Topics in Biomedical Image Processing
Recent and advanced topics in the field of biomedical image processing and its related areas. Students are expected to contribute to seminars or present lectures on selected topics. Primary references are recent publications in the field.
Prerequisite: permission of the instructor.
BIOM 5300 [0.5 credit] (BMG 5300)
Biological and Engineering Materials
Properties of structural biological materials (bone, tendon, ligament, skin, cartilage, muscle, and blood vessels) from an engineering materials viewpoint. Selection of engineering materials as biomaterials. Introduction to biocompatibility. Histology of soft tissues. Viscoelasticity, mechanical properties and models of muscles, ligaments and tendons.
Co-requisite: BIOM 5100 (BMG 5100).
Prerequisite: permission of the instructor.
BIOM 5301 [0.5 credit] (BMG 5301)
Biomechanics of Skeletal System, Motion and Tissue
Analysis of human motion. Kinematics and kinetics of various activities. Engineering analysis and modeling techniques applied to human motion. Injury mechanics, treatment, prosthetic replacements. Fracture behaviour and healing processes.
Prerequisite: permission of the instructor.
BIOM 5302 [0.5 credit] (BMG 5302)
Biofluid Mechanics
Properties of blood. Blood flow models for vessels, circulation systems and the heart. Artificial blood vessels. Kidney flow and exchange. Modeling of perfused tissues and cells. Transport phenomena across membranes. Molecular and ionic transport. Other body fluids.
Prerequisite: permission of the instructor.
BIOM 5303 [0.5 credit] (BMG 5303)
Ergonomics and Design
Review of ergonomic issues encountered in engineering design, including biomechanical, physical and physiological issues. Strategies for human interaction with complex systems, such as aircraft cockpits, equipment control consoles, human-robotic interactions, and tele-operated equipment.
Prerequisite: permission of the instructor.
BIOM 5306 [0.5 credit] (BMG 5306)
Special Topics in Mechanical and Aerospace Engineering: Biomechanics
Overview of human anatomy and physiology with emphasis on artificial organ and prosthetic device design requirement. Application of engineering principles to cells and tissues, biofluid mechanics, human body energetics, measurement techniques, mechanics of human body systems, with emphasis on the artificial heart. Offered at the undergradate level, with different requirements, as MAAE 4906, for which additional credit is precluded.
Precludes additional credit for MECH 5801 (MCG 5489I).
BIOM 5311 [0.5 credit] (BMG 5311)
Design of Medical Devices and Implants
Solutions to clinical problems through the use of implants and medical devices. Pathology of organ failure and bioengineering and clinical aspects of artificial organs. Examples: blood substitutes, oxygenators, cardiac support, vascular substitutes, pacemakers, ventricular assist devices, artificial hearts and heart valves.
Prerequisite: permission of the instructor.
BIOM 5312 [0.5 credit] (BMG 5312)
Design of Orthopaedic Implants and Prostheses
Anatomy of the musculo-skeletal system. Electromyography. Static and dynamic analysis of the human skeleton. Materials and manufacturing considerations for orthopaedic devices. Strength and failure theories. Implant fatigue, fracture and corrosion.
Prerequisite: permission of the instructor.
BIOM 5314 [0.5 credit] (BMG 5314)
Application of traditional control system principles to the human body. Functionality of sample actuators and sensors. Characterization of human body control loops with emphasis on system stability, robustness, and effect of adverse external disturbance.
Prerequisite: permission of the instructor.
BIOM 5315 [0.5 credit] (BMG 5315)
Interpretation of physical laws as applied to human motion, kinematics and dynamics of humanoid robots, modeling of biological sensors and actuators, artificial muscles, tele-manipulation, robot assisted surgery, and multi-fingered end-effectors. Design of mechatronic devices including rehabilitators, extenders, haptic devices, and minimally invasive surgery systems.
Prerequisite: permission of the instructor.
BIOM 5316 [0.5 credit] (BMG 5316)
Biotransport Processes
Application of chemical engineering principles to medicine and biology. Principles of mass transfer and fluid dynamics in topics such as hemodialysis, artificial kidney, diffusion in blood, mass transfer in the eye, drug distribution in the body, and advanced life support systems.
Prerequisite: permission of the instructor.
BIOM 5323 [0.5 credit] (BMG 5323)
Rehabilitation Engineering
Multidisciplinary approach to assistive-device design. Biomechanics applied to rehabilitation. Gait, neurological disorders, pathological gait, prosthetics, orthotics, seating, and mobility. Transducers, bio-instrumentation, EMG, FES. Augmentive communication and sensory aids. Human-assistive device interfaces, human-robot interfaces, computer-vision-guided rehabilitation aids, telerehabilitation.
Prerequisite: permission of the instructor.
BIOM 5330 [0.5 credit] (BMG 5330)
Electromagnetic Fields and Biological Systems
Review of electromagnetic waves at radio and microwave frequencies. Electrical and magnetic properties of tissue. Impact of electromagnetic waves on tissue. Cellular effects.
Prerequisite: permission of the instructor.
BIOM 5400 [0.5 credit] (BMG 5400)
Medical Computing
Introduction to information technology research used in the medically related fields such as biotechnology, cancer treatment, and biometric. Topics may include: medical imaging, telemedicine, telesurgery, DNA analysis, and medical information systems.
Prerequisite: permission of the instructor.
BIOM 5401 [0.5 credit] (BMG 5401)
Health Care Engineering
Health care system, technology management in health care in developed and developing countries; sensor technologies, safety considerations (EMI, etc); telemedicine applications; examples of research in biomedical engineering, bioethics, reliability, risk management and liability issues.
Precludes additional credit for SYSC 5300 (ELG 6130).
Prerequisite: permission of the instructor.
BIOM 5402 [0.5 credit] (BMG 5402)
Interactive Networked Systems and Telemedicine
Telemanipulator; human motoring and sensory capabilities; typical interface devices; mathematical model of haptic interfaces; haptic rendering; stability and transparency; remote control schemes; time delay compensation; networking and real-time protocols, history and challenges of telemedicine; telemedicine applications: telesurgery, tele-monitoring, tele-diagnosis and tele-homecare.
Prerequisite: permission of the instructor.
BIOM 5800 [0.0 credit] (BMG 5800)
Biomedical Engineering Seminar
This course is in the form of seminars presented by graduate students and other researchers in the area of Biomedical Engineering. To complete this course, a student must attend at least ten seminars and make one presentation in the context of this seminar series.
BIOM 5909 [2.0 credits] (BMG 5909)
M.A.Sc. Thesis
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