Recently, it has been shown by overnight driving simulation studies that microsleep density is the only known sleepiness indicator which rapidly increases within a few seconds immediately before sleepiness related crashes. This indicator is based solely on EEG and EOG and subsequent adaptive pattern recognition. Accurate microsleep recognition is very important for the performance of this sleepiness indicator. The question is whether expensive evaluations of microsleep events by a) experts are necessary or b) non-experts provide sufcient evaluations. Based on 11,114 microsleep events in case a) and 12,787 in case b) recognition accuracies were investigated utilizing (i) arti cial neural networks and (ii) support-vector machines. Cross validated classi cation accuracies ranged between 92.2 % for (i,b) and 99.3 % for (ii, a). It is concluded that expert evaluations are very important to provide independent information for detecting microsleep.
Die physiologischen Mechanismen der Peritonealhöhle einschließlich der Peritonealflüssigkeit ermöglichen bei einer limitierten Bakterienkonzentration einen effektiven Schutz gegen die Invasion in den systemischen Kreislauf. Das Gleichgewicht der sensiblen Barriere-Mechanismen kann jedoch durch eine Reduktion der Komplement-und Immunglobulinspiegel im zirrhotischen Aszites oder durch eine vermehrte Freisetzung von Bakterien aus Hohlorganperforationen oder Abszessen so empfindlich gestört werden, dass es zur Infektion der Abdominalhöhle kommt.
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