Biomedical subjects

K R Müller

Publications and source records attributed to K R Müller.

9 recordsLinked to original sources

PubMed2001

Noise robust estimates of correlation dimension and K2 entropy.

Using Gaussian kernels to define the correlation sum we derive simple formulas that correct the noise bias in estimates of the correlation dimension and K2 entropy of chaotic time series. The corrections are only based on the difference of correlation dimensions for adjacent embedding dimensions and hence preserve the full functional dependencies on both the scale parameter and embedding dimension. It is shown theoretically that the estimates, which are derived for additive white Gaussian noise, are also robust for moderately colored noise. Simulations underline the usefulness of the proposed correction schemes. It is demonstrated that the method gives satisfactory results also for non-Gaussian and dynamical noise.

Journal Article↗

PubMed2000

Identification of nonstationary dynamics in physiological recordings.

We present a novel framework for the analysis of time series from dynamical systems that alternate between different operating modes. The method simultaneously segments and identifies the dynamical modes by using predictive models. In extension to previous approaches, it allows an identification of smooth transition between successive modes. The method can be used for analysis, diagnosis, prediction, and control. In an application to EEG and respiratory data recorded from humans during afternoon naps, the obtained segmentations of the data agree with the sleep stage segmentation of a medical expert to a large extent. However, in contrast to the manual segmentation, our method does not require a priori knowledge about physiology. Moreover, it has a high temporal resolution and reveals previously unclassified details of the transitions. In particular, a parameter is found that is potentially helpful for vigilance monitoring. We expect that the method will generally be useful for the analysis of nonstationary dynamical systems, which are abundant in medicine, chemistry, biology and engineering.

Electroencephalography↗

PubMed2000

Engineering support vector machine kernels that recognize translation initiation sites.

MOTIVATION: In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points at which regions start that code for proteins. These points are called translation initiation sites (TIS). RESULTS: The task of finding TIS can be modeled as a classification problem. We demonstrate the applicability of support vector machines for this task, and show how to incorporate prior biological knowledge by engineering an appropriate kernel function. With the described techniques the recognition performance can be improved by 26% over leading existing approaches. We provide evidence that existing related methods (e.g. ESTScan) could profit from advanced TIS recognition.

Algorithms↗

PubMed2000

Artifact reduction in magnetoneurography based on time-delayed second-order correlations.

Artifacts in magnetoneurography data due to endogenous biological noise sources, like the cardiac signal, can be four orders of magnitude higher than the signal of interest. Therefore, it is important to establish effective artifact reduction methods. We propose a blind source separation algorithm using only second-order temporal correlations for cleaning biomagnetic measurements of evoked responses in the peripheral nervous system. The algorithm showed its efficiency by eliminating disturbances originating from biological and technical noise sources and successfully extracting the signal of interest. This yields a significant improvement of the neuro-magnetic source analysis.

Algorithms↗

PubMed2000

Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans.

We apply a recently developed multivariate statistical data analysis technique--so called blind source separation (BSS) by independent component analysis--to process magnetoencephalogram recordings of near-dc fields. The extraction of near-dc fields from MEG recordings has great relevance for medical applications since slowly varying dc-phenomena have been found, e.g., in cerebral anoxia and spreading depression in animals. Comparing several BSS approaches, it turns out that an algorithm based on temporal decorrelation successfully extracted a dc-component which was induced in the auditory cortex by presentation of music. The task is challenging because of the limited amount of available data and the corruption by outliers, which makes it an interesting real-world testbed for studying the robustness of ICA methods.

Acoustic Stimulation↗

PubMed1996

A numerical study on learning curves in stochastic multilayer feedforward networks.

The universal asymptotic scaling laws proposed by Amari et al. are studied in large scale simulations using a CM5. Small stochastic multilayer feedforward networks trained with backpropagation are investigated. In the range of a large number of training patterns t, the asymptotic generalization error scales as 1/t as predicted. For a medium range t a faster 1/t2 scaling is observed. This effect is explained by using higher order corrections of the likelihood expansion. It is shown for small t that the scaling law changes drastically, when the network undergoes a transition from strong overfitting to effective learning.

Learning↗

PubMed1984

The effect of LDL and modified LDL on macrophage secretion products.

The role that lipid uptake might play in macrophage activation was investigated using mouse peritoneal macrophages in vitro. Incubation with acetylated LDL for 48 hours resulted in a 12 fold increase in cholesterol ester content in macrophages; incubation with oxidized LDL resulted in a 6 fold increase in cholesterol ester, while incubation with native LDL did not result in cholesterol accumulation. Incubation of macrophages with acetylated LDL or oxidized LDL produced no change in macrophage production of plasminogen activator or secretion of interleukin 1 or superoxide anion.

Acetylation↗

PubMed1979

The characteristics and metabolism of a genetically hypercholesterolemic strain of rats (RICO).

A genetically hypercholesterolemic strain of rats was selectively bred, starting from an ordinary albino mutant of Rattus norvegicus. The new strain was given the designation RICO, standing for rats with increased cholesterol. In these animals, hypercholesterolemia is established, in both sexes, one day after weaning, and it increases progressively thereafter. It is due to elevated concentrations of LDL- and HDL-cholesterol. As in the ordinary rat, the HDL fraction makes up the main part of the serum cholesterol in the RICO rat. Metabolic studies revealed that in the RICO strain the overall rate of hepatic cholesterol synthesis is accelerated, as a result of higher than normal activity of 3-hydroxy-3-methylglutaryl-CoA reductase. The activity of cholesterol-7 alpha-hydroxylase is decreased in RICO rats, indicating a lower than normal rate of cholesterol catabolism. No difference was found between RICO and ordinary rats with respect to fecal excretion of bile acids and cholesterol.

Animals↗

PubMedDate not supplied

Endothelial regeneration in hypertensive and genetically hypercholesterolemic rats.

Endothelial regeneration after a narrow, superficial aortic injury was studied in rats with chronic Goldblatt hypertension, genetic hypercholesterolemia, or a combination of hypertension and genetic hypercholesterolemia. In all groups, endothelial continuity was restored within 24 to 36 hours by a combination of endothelial migration and proliferation. A line of increased endothelial density covering the previous wound was seen through 16 weeks after injury. Intimal thickening after injury did not occur in any of the groups. These results indicate that hypertension and hypercholesterolemia neither delay endothelial regeneration nor cause intimal thickening after a small injury in the rat.

Animals↗