Neural mass model-based tracking of anesthetic brain states.

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作者： Levin,Kuhlmann ^[1] ; Dean R,Freestone ^[2] ; Jonathan H,Manton ^[3] ; Bjorn,Heyse ^[4] ; Hugo E M,Vereecke ^[5] ; Tarmo,Lipping ^[6] ; Michel M R F,Struys ^[7] ; David T J,Liley ^[8]

作者单位： Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: levink@unimelb.edu.au. ^[1] Department of Medicine - St. Vincent's, University of Melbourne, Parkville, VIC 3010, Australia. ^[2] Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC 3010, Australia. ^[3] Department of Anesthesia, Ghent University Hospital, Gent, Belgium. ^[4] Department of Anesthesiology, University of Groningen, University Medical Center Groningen, The Netherlands. ^[5] Department of Information Technology, Pori Campus, Tampere University of Technology, Pori, Finland. ^[6] Department of Anesthesia, Ghent University Hospital, Gent, Belgium; Department of Anesthesiology, University of Groningen, University Medical Center Groningen, The Netherlands. ^[7] Brain and Psychological Sciences Research Centre, Swinburne University of Technology, Hawthorn, VIC, Australia; Cortical Dynamics Ltd, North Perth, WA, Australia. ^[8]

关键词 Anesthesia Brain state tracking Neural mass models Parameter estimation Unscented Kalman filtering