In the upcoming International Conference of the IEEE Engineering in Medicine
and Biology Society (EMBS) to be held in Baltimore, November 3-6, 1994,
a two-day workshop on FUZZY LOGIC in MEDICINE AND BIOLOGY" will be held to
highlight this emerging technology. On the first day, tutorial presentations
will be given by Drs. Akay, Hudson, and Cohen. On the second day, a series
of contributed talks focusing on applications in medicine and biology will be
given by the invited speakers.
On behalf of the workshop organization committee, I am pleased to invite you
to attend this session. If you are interested in attending in this workshop,
please reply by e-mail (akay at gandalf.rutgers.edu) or phone me at
(908) 932-4906 as soon as possible.
Looking forward to hearing from you.
Metin AKAY, Ph.D.
Biomedical Engineering Dept.
Piscataway, NJ 08855-0909
Phone: (908) 932 4906
e-mail: akay at gandalf.rutgers.edu
Fuzzy Logic in Medicine and Biology
Participation: Dr. Metin Akay, Rutgers University
Dr. Donna Hudson, UCSF
Dr. Maurice Cohen, UCSF
Imprecisely defined classes play an important role in human thinking.
Fuzzy set theory derives from the fact almost all natural classes and
concepts are Fuzzy rather than crisp in nature. According to
Lotfi Zadeh, who is the founder of fuzzy logic, all of the
reasoning people use everyday is Approximate in nature.
In this workshop, the concepts of fuzzy logic including the fuzzy
logic controller, fuzzy pattern recognition systems, the fuzzy expert
system, and fuzzy logic for biological signal processing,
will be discussed in details. The implementation of the Fuzzy logic,
uncertainity of management in medical diagnosis, knowledge-based diagnosis,
reasoning uncertain condition will discussed. Then, the advantages of
the fuzzy logic over the classical classification techniques will be
discussed. The relationship between Fuzzy Logic and Probability theory will be
Several biomedical applications including the paraplegic Gait Analysis,
the analysis of eye movements classifications, classification of
hemodyamic trends and artifacts, segmentation of MRI, identification
of athersclerosis, EMG pattern classification using Fuzzy logic will be
discussed. A functioning fuzzy logic in nonlinear systems will be
illustrated for a number of medical applications including diagnosis in
cardiology, development of prognostic models in melanoma, noninvasive
detection of coronary artey disese, and analysis of test results in lung
Participants will have an opportunity to use a fuzzy expert system
system for analysis of chest pain to see how these techniques are
utilized in practice.
Metin Akay. Ph.D.
He received the B.S. and the M.S. degrees in electrical engineering
from the Bogazici University, Istanbul, Turkey, in 1981 and 1984.
>From 1984 to 1986 he was in the Ph.D. programme at the same University.
He received his Ph.D. degree from Rutgers University in
1990. He is currently a visiting professor at Rutgers
He is coauthor with Dr. Welkowitz and Dr. Deutch for the new
edition of the book entitled Theory and Design of Biomedical
Instruments (Academic Press, 1991) and is author of Biomedical
Signal Processing (Academic Press, 1993).
He will also author the book entitled Detection and Estimation
of Biomedical Signals, (Academic Press, 1994 (pending).
He has been currently teaching these two graduate courses.
He was the coathor of two papers published 1992, 1993 based on
the noninvasive detection of coronary artery diease chosen by
the International Federation of Medical Informatic Society as an
representative papers beacuse of the scientific content and quality.
He was also coauthor of paper based on the noninvasive detection of
coronary artery disease chosen by the An International
Abstracts Journal in Mathematical Biology as an best representative paper
in heart disease area. He won the excellence in Research award in UMDNJ-RWJ
Medical School for his research based on the control of breathing.
His research areas of interest are fuzzy neural networks,
wavelet theory and application to biomedical signals, biomedical
signal processing, detection and estimation theory and application
to biomedical signals. His biomedical research areas include
breathing control, noninvasive detection of coronary artery disease,
and the understanding of the autonomic nervous system.
Dr. Akay is a member of Eta Kappa, Sigma Xi, Tau Beta Pi, The
American Heart Association, senior member of IEEE, BMES, and The
New York Academy of Science.
Donna L. Hudson, Ph.D.
Donna L. Hudson received the B.S. and M.S. degrees in
Mathematics from California State University, Fresno in 1968
and 1972, and the Ph.D. in Computer Science from University
of California, Los Angeles in 1981. In 1981, Dr. Hudson
joined the faculty at University of California, Davis as
Assistant Professor of Mathematics. Dr. Hudson is currently
Professor of Family and Community Medicine, University of
California, San Francisco. She is also Director of the
Computer Center at UCSF Fresno-Central San Joaquin Valley
Medical Education Program. Dr. Hudson's research interests
include approximate reasoning techniques in medical decision
making, expert systems, neural networks, image processing,
and chaotic modeling of medical data. Dr. Hudson is a
member of the AMS, IEEE, ACM, and ISCA. In 1985, she was
co-author on a paper on pattern recognition in medicine
which won the American Association for Medical Systems and
Informatics Best Paper Award, and in 1987 she was awarded
the UCSF-Fresno Faculty Research Award for her work on
handling of uncertainty in medical expert systems.
Maurice E. Cohen, Ph.D.
Maurice E. Cohen received the B.S. Honors degree in
Mathematics from University of London in 1963, and the Ph.D.
in Applied Mathematics from University of Wales in 1967. He
was subsequently a research fellow at the French Atomic
Energy Commission and was Assistant Professor of Mathematics
at Michigan Technological University before joining the
faculty at California State University, Fresno where he has
been Professor of Mathematics since 1974. He is also
Adjunct Professor of Radiology at University of California,
San Francisco. Dr. Cohen's research interests include
medical decision making, expert systems, neural networks,
mathematical modeling and chaos theory, as well as
development of new techniques in applied mathematics. Dr.
Cohen is a member of the AMS and ISCA. In 1985, he was co-
author on a paper on pattern recognition in medicine which
won the American Association for Medical Systems and
Informatics Best Paper Award, and in 1987 he was awarded the
UCSF-Fresno Faculty Research Award for his work on handling
of uncertainty in medical expert systems. Dr. Cohen was
named Outstanding Professor at California State University,
Fresno in 1991.