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Abstract--Electroencephalograms (EEGs) provide a non-invasive way of measuring brainwave activity from sensors
 

Summary: Abstract--Electroencephalograms (EEGs) provide a non-
invasive way of measuring brainwave activity from sensors
placed on the scalp. In this paper we present an approach to
measure coupling, or synchrony, between various parts of the
brain, critical for motor and cognitive processing, using wavelet
coherence of EEG signals. We provide an argument, highlighting
the benefits of using this approach as opposed to the regular
Fourier based coherence, in the context of localizing short
significant bursts of coherence between non-stationary EEG
signals, to which regular coherence is insensitive. We further
highlight the benefits of the wavelets approach by exploring how
a single time-frequency coherence map can be controlled to yield
various time and/or frequency resolutions.
I. INTRODUCTION
Understanding of cerebral dynamics is aided by the ability
to track temporal coupling between various neural signals [1].
The most common way of measuring coupling is through the
use of the coherence metric. Coherence is the degree of time-
locked correlation between two signals as a function of
frequency [2]. The problem that we address in this paper, and

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences