In this course, which is taught in English, students learn about
example biomedical applications in the areas of electronic implants (ECG
signal analysis for cardiac pacemakers and defibrillators) and
electronic healthcare (breathing analysis for sleep apnea diagnosis and
skin cancer detection). Students are then introduced to widely used signal and image processing software (MATLAB). In four projects, students will apply their knowledge to
practical and interesting biomedical signal and image processing
problems:
Heartbeat detection using electrical signals from the heart
Detecting breathing rhythms
Detecting skin changes in images
Matching skin regions taken at different times
Course Goals
Learn about applications in the areas of
electronic implants and electronic healthcare
Be able to develop simple biomedical
signal/image processing and analysis algorithms with MATLAB
Improve English comprehension skills
Course Requirements
Some previous MATLAB (or Octave) experience is useful but not
required.
We use MATLAB in this course, i.e., students need to bring their notebook
computers with MATLAB installed to every class. For more information
(installation, useful commands, tips) refer to my
MATLAB web page.
Students do not have to buy a text book.
Students have to hand in four written
reports and take two exams (for further information see below).
Course Location and Time
Location: Room 509, Quellgasse 21, Biel
Lecture time: Fridays, 14:20 - 15:55
News and Messages
Sign up for the Swiss IEEE EMBS
newsletter if you are interested in biomedical engineering
events.
Course Dates, Topics, Files
The documents, animations, videos etc. on this page are copyright
protected. They can be used for teaching purposes only. Please do not
distribute them. Note: To access the following documents, a
password is required.
01) February 26, 2010, CW 08
Electrical signals from the heart, pacemakers, defibrillators, detection
of heartbeats, course overview Files:
presentation
(updated on Feb. 27 with a few explanation slides with light blue frame),
problem set