By Topic

Temporal Patterns Analysis in EEG Data using Sonification

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zahid Halim ; Department of Computer Science, National University of Computer and Emerging Science, FAST-NU, H11/4 Islamabad, Pakistan,,, ; Rauf Baig ; Shariq Bashir

Brain computer interfacing is a direct communication pathway between human and computer. The area is innovative and under active research as a subset of human computer interaction. Brain computer interfacing typically utilize electroencephalogram (EEG) data to apply machine learning and or computational intelligence techniques to trigger actions. Electroencephalogram data is a multivariate time series data whose visualization suffers from problems like cluster overlapping and high dimensionality. In this paper we present a natural alternative to visualization i.e. sonification. Thus combining the two novel area of research to explore and get better results over the conventional approaches. Sonification is the use of non-speech audio to convey information. We have presented a technique to sonify alpha, beta and gamma bands present in the Electroencephalogram data. Experiments have been performed on EEG data of a controlled subject and the results have been discussed at the end.

Published in:

Information and Emerging Technologies, 2007. ICIET 2007. International Conference on

Date of Conference:

6-7 July 2007