291. |
- Westhall, E., et al.
(författare)
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Time to epileptiform activity and EEG background recovery are independent predictors after cardiac arrest
- 2018
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Ingår i: Clinical Neurophysiology. - : Elsevier BV. - 1388-2457 .- 1872-8952. ; 129:8, s. 1660-1668
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Investigate the temporal development of EEG and prognosis. Methods: Prospective observational substudy of the Target Temperature Management trial. Six sites performed simplified continuous EEG-monitoring (cEEG) on comatose patients after cardiac arrest, blinded to treating physicians. We determined time-points of recovery of a normal-voltage continuous background activity and the appearance of an epileptiform EEG, defined as abundant epileptiform discharges, periodic/rhythmic discharges or electrographic seizure activity. Results: 134 patients were included, 65 had a good outcome. Early recovery of continuous background activity (within 24 h) occurred in 72 patients and predicted good outcome since 55 (76%) had good outcome, increasing the odds for a good outcome seven times compared to a late background recovery. Early appearance of an epileptiform EEG occurred in 38 patients and 34 (89%) had a poor outcome, increasing the odds for a poor outcome six times compared to a late debut. The time to background recovery and the time to epileptiform activity were highly associated with outcome and levels of neuron-specific enolase. Multiple regression analysis showed that both variables were independent predictors. Conclusions: Time to epileptiform activity and background recovery are independent prognostic indicators. Significance: Patients with early background recovery combined with late appearance of epileptiform activity may have a good outcome.
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292. |
- Wozniak, Maciej K., et al.
(författare)
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Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI)
- 2023
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Ingår i: HRI 2023. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 938-940
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Konferensbidrag (refereegranskat)abstract
- The 6 InternationalWorkshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) will bring together HRI, robotics, and mixed reality researchers to address challenges in mixed reality interactions between humans and robots. Topics relevant to the workshop include the development of robots that can interact with humans in mixed reality, the use of virtual reality for developing interactive robots, the design of augmented reality interfaces that mediate communication between humans and robots, the investigations of mixed reality interfaces for robot learning, comparisons of the capabilities and perceptions of robots and virtual agents, and best design practices. VAM-HRI 2023 will follow the success of VAM-HRI 2018-22 and advance the cause of this nascent research community.Website: https://vam-hri.github.io.
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