Algorithms for on-line differentiation of neuroelectric activities

Klaus Muller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This talk will first provide a very brief overview of Brain Computer Interface from a machine learning and signal processing perspective. In particular it shows the wealth, the complexity and the difficulties of the data available, a truely enormous challenge: In real-time a multi-variate very strongly noise contaminated data stream is to be processed and neuroelectric activities are to be accurately differentiated. Finally, I report in more detail about the Berlin Brain Computer (BBCI) Interface that is based on EEG signals and take the audience all the way from the measured signal, the preprocessing and filtering, the classification to the respective application. BCI as a new channel for man-machine communication is discussed in a clincial setting and for gaming.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
DOIs
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: 2006 Aug 302006 Sep 3

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period06/8/3006/9/3

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Muller, K. (2006). Algorithms for on-line differentiation of neuroelectric activities. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings [4030588] https://doi.org/10.1109/IEMBS.2006.260884