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Comparison between human awake, meditation and drowsiness EEG activities based on directed transfer function and MVDR coherence methods.

, , , , , , and . Medical Biol. Eng. Comput., 53 (7): 599-607 (2015)

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Design and development of automated system for localised elf magnetic field stimulation of the human brain., and . ICINCO, page 316-321. INSTICC Press, (2005)Preliminary evaluation of electroencephalographic entrainment using thalamocortical modelling., , and . Expert Syst. J. Knowl. Eng., 26 (4): 320-338 (2009)Application of random forest classifier for automatic sleep spindle detection., , , and . BioCAS, page 1-4. IEEE, (2015)Automatic detection of sleep arousal events from polysomnographic biosignals., , , and . BioCAS, page 1-4. IEEE, (2015)EEG biomarker of Sleep Apnoea using discrete wavelet transform and approximate entropy., , , , , , , , and . ICSIPA, page 330-334. IEEE, (2017)Alterations in Sleep EEG Activity During the Hypopnoea Episodes., , , and . J. Medical Systems, 34 (4): 485-491 (2010)Information flow and coherence of EEG during awake, meditation and drowsiness., , , , , , and . EMBC, page 5446-5449. IEEE, (2014)Evaluation of FCS self and peer-assessment approach based on Cooperative and Engineering Design learning.. EMBC, page 2519-2522. IEEE, (2013)Advanced daytime polysomnographic preprocessing: A versatile approach for stream-wise estimation., and . Digit. Signal Process., (2014)Cross-correlation of EEG frequency bands and heart rate variability for sleep apnoea classification., , , and . Medical Biol. Eng. Comput., 48 (12): 1261-1269 (2010)