title: Robustness of implantable algorithms to detect epileptiform activity in the presence of broad-spectrum background noise.
abstract: Detection of epileptiform activity is of interest for responsive stimulation and diagnostic or monitoring devices in epilepsy; some implantable systems use low-computational-complexity algorithms such as line length trending and half-wave detection. Broadband noise was added to recorded electrocorticographic signals in order to model the potential impact of factors such as electrode-tissue interface properties and distance from the epileptic focus on these detection tools. Simulation demonstrated that half-wave and line length tools can yield consistent results in the presence of moderate amounts of noise.
authors.affiliation: NeuroPace, Inc, 1375 Shorebird Way, Mountain View, CA 94043, USA. bwingeier@neuropace.com
authors.forename: Brett M
authors.initials: BM
authors.lastname: Wingeier
authors.forename: Karl A
authors.initials: KA
authors.lastname: Sillay
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D004567:Electrodes, Implanted; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans