Publications by authors named "J H Koelman"
Objective: Deep learning methods have shown potential in automating the detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG). We compared IED detection using our previously trained deep neural network with a group of experts to assess its potential applicability.
Methods: First, we performed clinical validation on an internal data set.
Article Synopsis
- During 5,300 to 4,900 cal BP, much of Europe experienced a population decline known as the Neolithic decline, with debated causes including agricultural crisis and early plague spread.
- Researchers analyzed ancient genomes from 108 Scandinavian Neolithic individuals and found evidence of widespread plague infections in at least 17% of the population, occurring through three distinct events over roughly 120 years.
- The study also reconstructed family lineages indicating a patrilineal social structure and noted examples of female exogamy, contributing to a clearer understanding of the social dynamics and disease impact during this period.
Objectives: To investigate whether rhythmic/periodic EEG patterns (RPP) appearing after propofol discontinuation are more likely to be related to the elimination phase of propofol, or are an expression of severe brain damage.
Methods: In a retrospective cohort of comatose postanoxic patients, EEG was assessed one hour before (baseline) and on hour after discontinuation of propofol. Presence and duration of RPP were related to (changes in) EEG background pattern and duration of sedation.
Background: Endovascular thrombectomy is standard treatment for patients with anterior circulation large vessel occlusion stroke (LVO-a). Prehospital identification of these patients would enable direct routing to an endovascular thrombectomy-capable hospital and consequently reduce time-to-endovascular thrombectomy. Electroencephalography (EEG) has previously proven to be promising for LVO-a stroke detection.
View Article and Find Full Text PDFBackground And Objectives: Endovascular thrombectomy (EVT) is standard treatment for anterior large vessel occlusion stroke (LVO-a stroke). Prehospital diagnosis of LVO-a stroke would reduce time to EVT by allowing direct transportation to an EVT-capable hospital. We aim to evaluate the diagnostic accuracy of dry electrode EEG for the detection of LVO-a stroke in the prehospital setting.
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