MEDICAL INFORMATION DATA STRUCTURE AND PRACTICE

Theories and programming methods of data structures efficiently representable medical information including various type of information are learned and practiced. XML and relational database, Industrial de-facto standard, are also covered to help medical application software development in a real situation. A relatively complicated programming project will be given as a term project to experience a whole processes of real medical application software development. Practical and hands-on programming experience is required to complete this course.

MEDICAL ELECTRONICS LABORATORY

Experiments on characteristics, limitations and applications of operational amplifiers. Computer simulations and experiments on feedback circuits, linear amplifiers, active filters, and signal generations. Application of engineering principles to problems in medicine and biology, biomedical instrumentation, measurement of physiological data.

BIOMEDICAL INSTRUMENTATION LABORATORY

Laboratory projects provide practical experience in processing physiological data, with examples from cardiovascular system, respiratory system, brain, skin, pupil, and arterial pulse. It includes principles of measurements and instrumentation, emphasizing both fundamental and practical limitations on the signal-to-noise ratio.

MEDICAL ELECTRONIC SYSTEM AND EXPERIMENT

Bioinstrumentation covering clinical and research measurements. Topics include: designing medical instruments, displacement sensors, temperature and optical sensors, amplifiers and signal processing, cell, nerve, and muscle potentials, electrocardiogram, electrode polarization, surface electrodes, electrocardiograph, power line interference, blood pressure sensors, heart sound sensors, blood flowmeters, impedance plethysmography, respiratory pressure and flow, respiratory gas concentration, blood-gas sensors, noninvasive blood-gas sensors, clinical laboratory measurements, radiography, MRI, ultrasonic imaging, pacemakers and defibrillators, cardiac assist devices, electroshock hazards and protection.

CREATIVE DESIGN

Methodologies that designers use to create innovative solutions across domains. Based on the students’ own projects, emphasis is on approaches to problem identification and problem solving. Major issues include need identification, problem statement, communications, information gathering, engineering ethics, structured brainstorming, engineering economics, decision making, etc. The pleasures of creative design and hands-on development of tangible solutions.

MEDICAL INFORMATION PROGRAMMING

Basic programming techniques for developing medical application software and embedded software are learned. Topics include how to use an industry-standard development environment, C and C++ programming languages, basic design of application program structures. A simple but complete programming project will be given as a term project to experience a whole processes of medical application software development. Practical and hands-on programming experience is required to complete this course.

HUMAN PHYSIOLOGY FOR BIOMEDICAL ENGINEERS

This lecture provides a thorough exploration of the gross structure and function of the human body. Fundamental principles of bioengineering are employed to promote understanding the body's design.

BASIC CIRCUIT ANALYSIS

The basic circuit theories that are the base of electronics engineering are analyzed by time and frequency domain. Also, the networks are analyzed by node and mesh method, and the phasor is introduced for AC analysis.

ELECTROMAGNETIC FIELDS AND WAVES1

This course will discuss the basic theory and related laws of electromagnetics. The contents of course consist of static electromagnetic fields, physical prosperities of fields, and interaction between electromagnetic fields and materials. It is expected that the fundamental understanding of the electromagnetics could be utilizes for further systematic studies in the electronics.

BASIC CIRCUIT EXPERIMENTS

Hands-on experiences in using laboratory instruments such as oscilloscopes and various meters. Basic safety information on using electrical equipments. Experiments on Kirchhoff's laws, resistors, capacitors, inductors, basic operational amplifier circuits, digital circuits, and frequency response.

NEURO PHYSIOLOGY FOR BIOMEDICAL ENGINEERS

This course deals with the topics of human neural physiology and science. Emphasis is on neural systems physiology including nerve and muscle, nervous system, and neuromuscular system.

KNOWLEDGE SYSTEM OF ORIENTAL MEDICINE

This lecture provides the fundamental theory and it's meta structure in oriental medicine. then students learn how to apply medical knowledge for knowledge engineering.

MEDICAL ELECTRONICS 1

Basic electronic circuit theory for measuring biological signals. Analysis and design of electronic circuits including diodes, transistors, and passive components. Analog electronic circuits for biological signal processing.

PROBABILITY AND RANDOM VARIABLES

This course gives an introductory treatment of probability theory for analysis of the system that inherently exhibits randomness. Covered topics include elementary probability theory, random variable, probability distribution and density function, correlation and spectral density function, and random processes. Those topics are applicable to a wide range of electrical engineering fields including information technology, control engineering, semiconductor, computer engineering, etc.

MEDICAL ELECTRONICS 2

Analog electronic circuit theory for measuring biological signals. Analysis and design of electronic circuits including operational amplifiers and other components Analog signal processing techniques including sensor interface, amplifiers, active filters, signal generation, etc.

COMPUTER ARCHITECTURE & MICROPROCESSOR

This course provides topics including basic microcomputer hardware, software and the usage of recent popular applications. Hardware organization, memory addressing, input / output interface, interrupts, assembly language programming, peripheral support, hardware and software development.

BIOMEDICAL INSTRUMENTATION 1

Engineering principles in medical instrumentation. Design and application of medical instruments. Origin of biological signals. Electrodes and sensors. Biopotential amplifiers for ENG, ECG, EEG, EMG, etc. Analog biological signal processing. Electrical safety

ACUPUNCTURE AND MOXIBUSTION

Students learn the basic theory and it's scientific background of acupuncture. Then they will practice acupuncture manipulation methods at acupoints

BIOMEDICAL SYSTEM MODELING

This course covers methodologies for biomedical systems modeling and simulation via mathematical analysis and modeling of biomedical systems and their computer implementation.

SIGNALS AND SYSTEMS

Signals and Systems provides basic theory for mathematical modeling and analysis of electrical circuits, communications, control, image processing, and electromagnetics. Signals and systems are analyzed in the time and frequency domains. This course covers basic continuous and discrete time signals, system properties, linear time invariant systems, convolution, continuous and discrete time Fourier analysis.

MEDICAL INFORMATICS

An overview of the field of medical informatics. Topics include: medical language and terminology, the process of medical decision making, an understanding of how information flows in the practice of medicine, representing information in medical systems including clinical data about patients, indexing information for medical knowledge resources, and expert systems.

BIOMEDICAL INSTRUMENTATION 2

Engineering principles in medical instrumentation. Design and application of medical instruments. Origin of biological signals. Sensors and signal processing techniques for pressure, flow, volume in cardiovascular and respiratory system. Principles and applications of bioimpedance, biosensors, and therapeutic devices.

BIOMEDICAL OPTICS

From this course, we understand basic principles of optics and several methods of optical signal processing. Also we study various optical phenomena associated with an interaction between light and biological tissues and then explore optical methods for detecting biosignals and acquiring images inside human body. Some other biological applications based on optical imaging are introduced as well.

REHABILITATION ENGINEERING

Design of devices for persons with physical, sensory or cognitive impairments, interdisciplinary study on specific disabilities

BIO-SIGNAL PROCESSING AND PRACTICE

This course covers the topics of signal conversion of biomedical signals, basics of digital filtering, finite impulse response filters, infinite impulse response filters, integer filters, adaptive filters, signal averaging, data reduction techniques, and other time and frequency domain techniques with respect to biomedical signals such as ECG, EEG, etc.

BIO TECHNOLOGY AND MANAGEMENT

This course covers theories and practices on entrepreneurship and venture management which will provide students with necessary knowledge about how to start new ventures. Topics also include R&D management and new product development.

MEDICAL INFORMATION PROCESSING AND PRACTICE

Theories and methods using computers are leaned to process and manage efficiently medical information including various different types of multimedia data. Processing and fusion techniques of various bio-signals, medical images and medical video and extract clinical information to accurately diagnose and treat diseases are covered. Visualization and advanced database design and implementation techniques are also learned. Basic concepts of medical expert systems is also introduced.

IMAGE SIGNAL PROCESSING

This course teaches representation of 2D digital image signal, basic processing steps of image signal, elements of image signal processing system, image transform including Fourier transform, FFT and DCT, enhancement and restoration of image signal.

Medical Imaging System

The conceptual, mathematical and statistical aspects of imaging science, and a survey from this formal viewpoint of various medical imaging modalities, including film screen radiography, positron and x-ray computed tomography, ultrasonic and magnetic resonance imaging

SPECIAL TOPICS IN BIOMEDICAL ENGINEERING

A Special lecture on the recent advanced biomedical engineering.

NEURAL ENGINEERING

This course deals with disciplines that use engineering techniques to understand, repair, replace, enhance, and treat the diseases of neural systems. Emphasis is given on problem solving at the interface of living neural tissue and biomedical devices.

U-HEALTH CARE

A revolutionary new medical system employing various ubiquitous technologies is introduced. The new medical system enables an advanced but inexpensive, preventive and promotional service accessible at any time and at any place to any people. This course covers the concept, methodologies, cases and application of various technologies of the new revolutionary medical system.

MEDICAL PHYSICS

Medical physics cover a broad spectrum that ranges from the study of basic biomedical processes to the diagnosis and treatment of disease, especially emphasizing on physical parameters for particular tasks in diagnostic medical imaging radiography, computed tomography, radionuclide imaging, magnetic resonance imaging, thermography, and ultrasonography.

NANO-BIO ENGINEERING

Nanobio technologies for an application to biomedical engineering are studied. Bio-MEMS stands for biomedical micro-electro-mechanical systems. Bio-MEMS is a science that includes more than simply finding biomedical applications for MEMS devices. Designing, modeling, fabricating, and applying biomedical micro- and nano-devices are introduced and explored.

LOGIC CIRCUIT

This course introduces design and implementation of digital logic circuits.By understanding of logic device property and design method in digital system,it focuses on basic design for computer architecture and practical digital circuit using combinational and sequential circuit.

DIGITAL CIRCUIT DESIGN AND LANGUAGE

In order to implement complex electronic information systems, techniques for designing digital circuits should be learned. In this course, hardware design language which helps model and verify complex digital circuits efficiently for design reuse will be learned. Based on logic design principles, high-level design techniques and modelling for digital state machines using key components such as programmable logic arrays, ROMs, FPGAs are taught.