Publications by authors named "H A Wischmann"

Background: Cognitive screening tools are widely used in clinical practice to screen for age-related cognitive impairment and dementia. These tools' test scores are known to be influenced by age and education, leading to routine correction of raw scores for these factors. Despite these corrections being common practice, there is evidence suggesting that corrected scores may perform worse in terms of discrimination than raw scores.

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Objectives: Recently, our group detected that polyvinyl chloride (PVC) perfusion lines leach large amounts of the toxic plasticizer diethylhexylphthalate (DEHP) under conditions typical of intensive care units. In the present study, we investigated the extraction of DEHP from PVC connecting tubes that are commonly used for total parenteral nutrition (TPN) solutions. The aim of the study was to estimate the amount of DEHP to which children receiving home TPN are exposed for months and years.

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Background: The plasticizer di-ethylhexyl-phthalate (DEHP) is extracted especially by lipid emulsions from polyvinylchloride infusion systems. The aim of this study was to systematically examine the extraction from perfusion lines commonly used in our hospital for lipid emulsion infusions.

Methods: Perfusion lines made from polyvinylchloride of various lengths and brands, polyethylene, polyvinylchloride/polyethylene (PVC/PE) and polyvinylchloride/polyurethane (PVC/PU), were perfused with lipid emulsions according to the circumstances of newborns on an intensive care unit, i.

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An analytical procedure was developed for the determination of pharmacologically active substances in archaeological skeleton materials. In comparative model studies, added ("spiked") test biomolecules of varying chemical behaviours were extracted from sample matrices and percentage of the analytes recovered were estimated using gas chromatography/mass spectrometry (GC/MS) or high performance liquid chromatography (HPLC). For the sterols and steroids studied, several organic solvents were appropriate.

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Minimum norm algorithms for EEG source reconstruction are studied in view of their spatial resolution, regularization, and lead-field normalization properties, and their computational efforts. Two classes of minimum norm solutions are examined: linear least squares methods and nonlinear L1-norm approaches. Two special cases of linear algorithms, the well known Minimum Norm Least Squares and an implementation with Laplacian smoothness constraints, are compared to two nonlinear algorithms comprising sparse and standard L1-norm methods.

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