Catalog Description:
Many of our behavior patterns are major determinants of important health outcomes. Positive health effects can be achieved when indicators of individual’s lifestyle and behavior are kept in healthy ranges.
Personal electronic health assistants support health and wellness in every-day life.
This lecture provides an introduction into personal electronic health assistants by combining relevant methods, tools and practical applications from research and industry.
Methods include physiological signal processing, data privacy methods and relevant methods from machine learning and data mining.
Applications include a personal stress assistant, ambient assisted living and the smartphone as electronic health assistant.
There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.
Please find more information on my lecture page: http://www.barnrich.ch/wiki/doku.php?id=pub:lectures:start
Credits:
Prerequisites:
| Link | Year | Semester | Course Page | Instructor | Course Schedule | Lab Schedule | PS Schedule |
|---|---|---|---|---|---|---|---|
| görüntüle | 2016 | Fall | Course Page | Bert Arnrich | WWW 678 | ||
| görüntüle | 2015 | Fall | Course Page | Bert Arnrich | |||
| görüntüle | 2014 | Spring | Course Page | Bert Arnrich |