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Cross frequency coupling (CFC) quantifies the extent to which low frequency phase controls high frequency amplitude in electroencephalograph (EEG) signals. Neurologically, this can be seen as a global communication between head regions influencing the local processing of stimuli by neuron groups. Several metrics exist for measuring CFC and this paper presents a modification that can be applied to...
This paper examines the window size selection used for measuring cross frequency coupling (CFC) in digitized electroencephalograph (EEG) signals. As with many signal processing algorithms, a larger time window results in more accurate and less noisy results but at the cost of a lower temporal resolution. In this paper, a range of window sizes (in samples per second) is examined using a synthetic test...
In this paper we present an ASIC implementation of the cross frequency coupling (CFC) algorithm that calculates the modulation index directly from digitized electroencephalograph (EEG) signals. To our knowledge this is the first implementation of the CFC algorithm in hardware. The advantage of directly computing the modulation index on chip is that the raw EEG data does not have to be stored in memory...
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