作者: D Piper , K Schiecke , B Pester , F Benninger , M Feucht
DOI: 10.1088/1367-2630/16/11/115012
关键词:
摘要: Time-variant coherence analysis between the heart rate variability (HRV) and channel-related envelopes of adaptively selected EEG components was used as an indicator for occurrence (correlative) couplings central autonomic network (CAN) epileptic before, during after seizures. Two groups patients were investigated, a group with left right hemispheric temporal lobe epilepsy. The individual extracted by signal-adaptive approach, multivariate empirical mode decomposition, each resulting intrinsic function (IMF) computed using Hilbert transform. IMFs, whose strongly correlated HRV’s low-frequency oscillation (HRV-LF; ≈0.1Hz) before seizure identified. frequency ranges these IMFs correspond to delta-band. timevariant statistically quantified tensor decomposition time-frequency maps applied explore topography-timefrequency characteristics analysis. Results allow hypothesis