Extraction of Rhythmic Information from Non-invasively Recorded EEG Signal Using IEEE Standard 1057 Algorithm

  • Manoj Kumar Mukul
  • Fumitoshi Matsuno


This paper describes extraction of rhythmic activity from one or two channel non-invasively recorded signal using IEEE standard 1057 algorithm. However BSS technique such as ICA is generally applied to Multichannel recordings and the analysis of single channel recordings with BSS technique is not usually performed. However there are instances where just one or two recording channel is either available or desired the difficulty of isolating signals of interest is greatly increased. It would be particularly useful to be able to automatically isolate visualize and track multiple nerophysiologically meaningful sources under laying the ongoing single or two channel EEG recording. We introduced a method whereby it is possible to break down single or two channels recordings of EEG brain signals into their underlying components, irrespective of the components origin, method relies on a combination of a nonlinear dynamical system framework using standard implementation of IEEE standard algorithm.


Independent Component Analysis Independent Component Analysis Mental Task Single Channel Recording Straight Movement 
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Copyright information

© Indian Institute of Information Technology, India 2009

Authors and Affiliations

  • Manoj Kumar Mukul
    • 1
  • Fumitoshi Matsuno
    • 1
  1. 1.Department of Mechanical Engineering and Intelligent SystemsThe University of Electro-CommunicationsTokyoJapan

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