Electroencephalogram (EEG) recordings often contain large segments with missing signals due to poor electrode contact or other artifact contamination. Recovering missing values, contaminated segments and lost channels could be highly beneficial, especially for automatic classification algorithms, such as machine/deep learning models, whose performance relies heavily on high-quality data. The current study proposes a new method for recovering missing segments in EEG.
View Article and Find Full Text PDFBackground: Endoscopic retrograde cholangiopancreatography (ERCP) requires moderate to deep sedation, usually with propofol. Adverse effects of propofol sedation are relatively common, such as respiratory and cardiovascular depression. This study was conducted to determine if doxapram, a respiratory stimulant, could be used to reduce the incidence of respiratory depression.
View Article and Find Full Text PDFBackground And Aims: There is no consensus on how to assess the depth of sedation for endoscopic retrograde cholangiopancreatography (ERCP). This study was carried out in order to evaluate different methods of assessment of depth of sedation: bispectral index (BiS), modified Richmond Agitation/Sedation Scale (mRASS), modified Ramsay Sedation Scale (mRSS) and modified Observer Assessment of Alertness and Sedation (mOAAS) and their applicability to clinical practice.
Methods: Two hundred patients were recruited.
Objective: Patient-controlled sedation (PCS) has been shown to be a valid choice for sedation during endoscopic retrograde cholangiopancreatography (ERCP) in randomized studies. However, large-scale studies are lacking.
Material And Methods: A single center, prospective observational study to determine how sedation for ERCP is administered in clinical setting.