https://www.selleckchem.com/pr....oducts/mi-773-sar405
A system for automated annotation of selected signals from the polysomnogram (PSG) for the presence of apnoea and non-apnoea arousals is presented. Fifty nine time- and frequency-domain features were derived from the PSG for each 15 second epoch and after combining features from adjacent epochs, the feature information was processed with a bank of feed-forward neural networks that provided a probability estimate that each epoch was associated with an apnoea or non-apnoea arousal, or no-arousal. Data from the Physionet Computing

https://nsc4170inhibitor.com/t....he-species-specific-
STUDY DESIGN Retrospective cohort study predicated on health insurance statements data of this AOK Bremen/Bremerhaven. All NHR aged 65 many years or higher whom died between 2006 and 2015 were included. MAIN OUTCOME MEASURES We assessed the proportions of decedents who had been in hospital at the time of death and during the last 3, 7, 14 and thirty days of life, stratified by two-year times. Numerous logistic regressions had been conducted to review modifications with time, adj