2002
DOI: 10.1515/bmte.2002.47.s1b.577
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Meg-Analysis Using the Hilbert Transform

Abstract: Event-related fields (ERFs) measured by magnetoencephalography (MEG) upon visual stimulation are analysed by Hilbert transformation. The Hilbert transform of real-valued measured ERF is an analytic complex signal, represented by phase and amplitude. The temporal behaviour of the derivative of the phase, i.e. the instantaneous frequency, allows to distinguish time intervals containing meaningful signal from noise. On the basis of both phase and amplitude, energies and latencies of single event ERFs can be deter… Show more

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“…In pts. 1 and 2, the Hilbert transform on data filtered to pass only the theta band was used to obtain a continuous measure of phase (Link et al, 2002). Unfiltered CSD from all channels was averaged with respect to times where phase was –π.…”
Section: Methodsmentioning
confidence: 99%
“…In pts. 1 and 2, the Hilbert transform on data filtered to pass only the theta band was used to obtain a continuous measure of phase (Link et al, 2002). Unfiltered CSD from all channels was averaged with respect to times where phase was –π.…”
Section: Methodsmentioning
confidence: 99%