Reinhard Viga

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Wireless body sensor networks consisting of EEG, ECG, EMG and acceleration sensors provide assistance to the researchers in cognitive physiology and clinical research as well as in neurophysiology. The data fusion of the electrical activities of muscle structures, e.g. facial muscles, heart and brain combined with the movement data of patients helps to(More)
For the practical research on influences of vascular diseases on the cardiovascular system a torso model is developed that represents all major arteries and veins. The model allows analysing the reaction of vascular diseases on the time-dependant variance of pressure and volume flow distribution. Therefore the passages between arterial and venous vessels(More)
This article describes a pulsed thermal Time-of-Flight (TTOF) flow sensor system as two subsystems i.e., a pulsed-wire system and a heat flow system. The entire flow sensor is regarded system-theoretically as a linear time-invariant (LTI) system and is described by its transfer function or impulse response. The characterization of the thermo-fluid dynamic(More)
Increasing development of Cyber-physical systems (CPS) has made it possible to enhance the brain-computer interface (BCI) with other multimodal vital sensors e.g. video, acceleration, pulse oximetry (SpO2-Measurment) that allow the neurophysiologist to monitor data in real-time. However to correlate the diverse data from distributed sensor nodes possess a(More)
E. Engelien, B. Strathen, Y. Bai, C. Puckert, R. Viga, R. Glocker, T. Hilbel, R. Kokozinski University Duisburg-Essen, Institute of Electronic Devices and Circuits, Bismarckstr. 81, D-47057 Duisburg University of Applied Sciences, Department of Physical Engineering, Neidenburger Str. 43, D-45877 Gelsenkirchen CGS Sensors GmbH, Erthalstr. 12, D-63739(More)
Demographic change in the next few years will lead to a pronounced disparity in generation distribution. Hence there is a need to develop intelligent systems to support and maintain the autonomy of the elderly at home. A high priority in this case assumes the preparation-free acquisition of vital signs and patient parameters in long-term monitoring systems(More)
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