Course Chair
Harry Whitmore, RPSGT
University of Chicago
Chicago, IL
TargeT audience
Sleep technicians and technologists seeking to update their knowledge and skills
related to signal analysis.
Course overview
During this two-day course, an expert faculty will provide an in-depth review of the
use of signal analysis to interpret EEG data collected during sleep studies. Faculty will
provide an historical perspective on the development of signal analysis, discuss various
methods for analyzing signals and present new techniques for viewing EEG data.
Following these discussions, the course will focus on applying signal analysis methods
to other signals such as heart rate variability analysis of the EKG signal and analysis of
respiratory signals. The course will conclude with a presentation discussing the future
of automated analysis of sleep studies. In addition to faculty presentations, this course
has several discussion sessions.
Course objectives
Upon completion of this course, participants will be able to:
- Discuss the history and development of signal analysis
- Compare the various methods of EEG signal analysis
- Apply signal analysis methods to other signals recorded during a sleep study
- Discuss the advantages and disadvantages of automated analysis of sleep studies
**Webinar Connection Requirements and Restrictions**
You must have access to an internet connection to view the slide presentation and either a separate phone line or computer speakers to hear the presenter. The system is not compatible with Macs or Safari browsers.
An e-mail containing login instructions will be sent to you one to two days prior to the webinar to the e-mail address entered on the checkout page during the registration process. However, the system is not compatible with AOL accounts; do not use an AOL e-mail address as your contact e-mail address when registering for a webinar. If you do not have an alternate e-mail address, please contact Randi Prince in the Meeting Department at rprince@aasmnet.org.