Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Finding Significant Correlates of Conscious Activity in Rhythmic EEG | EURASIP Journal on Applied Signal Processing 2005 19 3122-3127 2005 Hindawi Publishing Corporation Finding Significant Correlates of Conscious Activity in Rhythmic EEG Piotr J. Durka Laboratory of Medical Physics Institute of Experimental Physics Warsaw University ul. Hoza 69 00-681 Warsaw Poland Email durka@ Received 28 January 2004 Revised 27 July 2004 One of the important issues in designing an EEG-based brain-computer interface is an exact delineation of the rhythms related to the intended or performed action. Traditionally related bands were found by trial and error procedures seeking maximum reactivity. Even then large values of ERD ERS did not imply the statistical significance of the results. This paper presents complete methodology allowing for a high-resolution presentation of the whole time-frequency picture of event-related changes in the energy density of signals revealing the microstructure of rhythms and determination of the time-frequency regions of energy changes which are related to the intentions in a statistically significant way. Keywords and phrases time-frequency adaptive approximations matching pursuit ERD ERS multiple comparisons. 1. INTRODUCTION Thinking of a brain-computer interface BCI one can imagine a device which would directly process all the brains output like in a perfect virtual reality machine 1 . Today s attempts are much more humble we are basically at the level of controlling simple left right motions. On the other hand these approaches are more ambitious than direct connections to the peripheral nerves we are trying to guess the intention of an action directly from the activity of the brains cortex recorded from the scalp EEG . Contemporary EEG-based BCI systems are based upon various phenomena like for example visual or P300 evoked potentials slow cortical potentials or sensorimotor cortex rhythms 2 . The most attractive path leads towards the detection of the natural EEG features for example a normal intention of
