Stephan Lau

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Heart rate variability (HRV) is a marker of autonomous activity in the heart. An important application of HRV measures is the stratification of mortality risk after myocardial infarction. Our hypothesis is that the information entropy of HRV, a non-linear approach, is a suitable measure for this assessment. As a first step, to evaluate the effect of(More)
Magnetoencephalography (MEG) signals are influenced by skull defects. However, there is a lack of evidence of this influence during source reconstruction. Our objectives are to characterize errors in source reconstruction from MEG signals due to ignoring skull defects and to assess the ability of an exact finite element head model to eliminate such errors.(More)
Industrial control systems (ICS) are integral components of production and control processes. Our modern infrastructure heavily relies on them. Unfortunately, from a security perspective, thousands of PLCs are deployed in an Internet-facing fashion. Security features are largely absent in PLCs. If they are present then they are often ignored or disabled(More)
Industrial control systems (ICS) are integral components of production and control processes. Our modern infrastructure heavily relies on them. Unfortunately, from a security perspective, thousands of PLCs are deployed in an Internet-facing fashion. Security features are largely absent in PLCs. If they are present then they are often ignored or disabled(More)
Honeypots are a common tool to set intrusion alarms and to study attacks against computer systems. In order to be convincing, honeypots attempt to resemble actual systems that are in active use. Recently, researchers have begun to develop honeypots for programmable logic controllers (PLCs). The tools of which we are aware have limited functionality compared(More)
A major challenge in planning and performing resective surgery in drug-resistant epilepsy is the accurate identification of the epileptogenic zone. Currently, intracranial EEG is considered to be the most reliable preresective functional localisation method. Our objective is to non-invasively localise the epileptogenic zone using simultaneous high-density(More)
There is a lack of standard methods for the analysis of magnetocardiograms (MCGs). MCG signals have a shape similar to the ECG (P wave, QRS complex, T wave). High-quality multichannel recordings can indicate even slight disturbances of de- and repolarisation. The purpose of our study was to apply a new approach in the analysis of signal-averaged DC-MCGs.(More)
Magnetocardiography (MCG) non-invasively provides functional information about the heart. New room-temperature magnetic field sensors, specifically magnetoresistive and optically pumped magnetometers, have reached sensitivities in the ultra-low range of cardiac fields while allowing for free placement around the human torso. Our aim is to optimize positions(More)
Magnetoencephalography (MEG) and electroencephalography (EEG) are non-invasive methods to analyze the temporal and spatial extent of neuronal activity in the brain. Source reconstruction enables us to decompose and locate the electromagnetic sources representing neuronal activation. Highly accurate source reconstruction is possible with finite element (FE)(More)