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Assessing EEG slow wave activity during anesthesia using Hilbert-Huang Transform.

, and . EMBC, page 117-120. IEEE, (2015)

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Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia., , , and . Inf. Fusion, (2021)Assessing EEG slow wave activity during anesthesia using Hilbert-Huang Transform., and . EMBC, page 117-120. IEEE, (2015)EEG-based detection of awakening from isoflurane anesthesia in rats., , , , and . EMBC, page 4279-4282. IEEE, (2012)Correlation between muscular and nerve signals responsible for hand grasping in non-human primates., , , , , , , , , and 7 other author(s). EMBC, page 2314-2317. IEEE, (2014)Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing., , , , , and . EMBC, page 138-141. IEEE, (2020)Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG., , , and . CinC, page 1-4. IEEE, (2023)Using Hilbert-Huang Transform to assess EEG slow wave activity during anesthesia in post-cardiac arrest patients., , , , , , , , and . EMBC, page 1850-1853. IEEE, (2016)EEG-based recognition of video-induced emotions: Selecting subject-independent feature set., and . EMBC, page 4287-4290. IEEE, (2013)TRECVID 2004 Experiments at MediaTeam Oulu., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2004)Depth of Anesthesia During Multidrug Infusion: Separating the Effects of Propofol and Remifentanil Using the Spectral Features of EEG., , and . IEEE Trans. Biomed. Eng., 58 (5): 1216-1223 (2011)