Inst. Energie- und Automatisierungstechnik

116 Items

Recent Submissions
Effective radiant flux for non-image forming effects – is the illuminance and the melanopic irradiance at the eye really the right measure?

Broszio, Kai ; Knoop, Martine ; Niedling, Mathias ; Völker, Stephan (2017-09-18)

Research indicates that intrinsically photosensitive retinal Ganglion Cells are not evenly distributed or evenly sensitive throughout the retina. Still, most research looking into non-image forming (NIF) effects uses an integral measured quantity, illuminance or melanopic weighted irradiance, to represent the amount of light at the participants’ eye level. This paper describes a theoretical app...

Nicht-visuelle Beleuchtung: Reichen integrale Messgrößen aus?

Broszio, Kai ; Niedling, Mathias ; Knoop, Martine ; Völker, Stephan (2017-09-09)

Nicht-visuelle Effekte von Licht und deren Anwendung z. B. im Rahmen von Human Centric Lighting werden in der Lichttechnik zunehmend wichtig. Bereits seit langem bestehen Hinweise auf die Beeinflussbarkeit des circadianen Rhythmus durch Licht. Aber erst seit Entdeckung der retinalen photosensitiven Ganglienzellen (ipRGC) wurde es möglich, ihre Empfindlichkeitsfunktion und ihren Einfluss auf die...

Design, control and analysis of a novel multilevel converter with a reduced switch count

Norambuena, Margarita (2018)

Multilevel converters are used in a wide range of applications, such as drives, energy conversion and distributed generation. This Thesis proposes a new multilevel converter topology that allows increasing the number of output voltage levels with a fewer required power semiconductors than in standard multilevel topologies such as Active Neutral Point Clamped (ANPC), Flying Capacitor Converter (...

The effect of assuming static or dynamic gaze behaviour on the estimated background luminance of drivers

Winter, Jan ; Fotios, Steve ; Völker, Stephan (2018-02-15)

Application of the Commission Internationale de l’Eclairage system for mesopic photometry requires that an estimate is made of the observers’ state of luminance adaptation. This paper addresses an assumption made when estimating background luminance, a component of adaptation luminance. Specifically, using spatial sampling of the visual field we compare background luminances determined from ass...

Gaze direction when driving after dark on main and residential roads: Where is the dominant location?

Winter, Jan ; Fotios, Steve ; Völker, Stephan (2016-02-17)

CIE JTC-1 has requested data regarding the size and shape of the distribution of drivers’ eye movement in order to characterise their visual adaptation. This article reports the eye movement of drivers along two routes in Berlin after dark, a main road and a residential street, captured using eye tracking. It was found that viewing behaviour differed between the two types of road. On the main r...

Enabling continuous blood pressure estimation on artifact contaminated recordings applying a novel pulse wave signal quality detector

Pflugradt, Maik (2018)

The universe of home-monitoring and unobtrusive longtime measurements has experienced a remarkable development in the past years. Smart and cheap recording devices interconnected to body sensor networks have emerged in a great variety, promoting features such as on-line signal processing, low power consumption and high data rates. These hardware systems provide a novel platform for ambitious me...

Synchronous data acquisition with wireless sensor networks

Funck, Jürgen Helmut (2018)

Wireless sensor networks (WSN) are predicted to play a key role in future technological developments like the internet of things. Already they are beginning to be used in many applications not only in the scientific and industrial domains. One of the biggest challenges, when using WSN, is to fuse and evaluate data from different sensor nodes. Synchronizing the data acquisition of the nodes is a...

Untersuchung von Einflussfaktoren auf die Offline- und Online-Kalibration von Teilentladungsmessungen an Hochspannungsbetriebsmitteln

Seifert, Stefan (2018)

Die vorliegende Arbeit behandelt die Untersuchung von Einflussfaktoren auf die Offline- und Online-Kalibration von Teilentladungsmessungen an Hochspannungsbetriebsmitteln, um Fehler bei der Kalibration von Teilentladungsmessungen zu vermeiden und somit verlässliche Ladungspegel im Hoch- und Höchstspannungsbereich zu erhalten. Für die Kalibrierung von Teilentladungsmessungen geht die IEC 60270 v...

Operational planning, modeling and control of virtual power plants with electric vehicles

Raab, Andreas Franz Alois (2018)

The paradigm shift towards a more sustainable energy supply with a less detrimental environmental impact successively changes the energy sector from a polycentric towards a more distributed energy system. The presence of distributed and renewable energy sources combined with the anticipated electrification of the transport sector results in changes along the entire value chain. This so-called t...

Amplifier design for EMG recording from stimulation electrodes during functional electrical stimulation leg cycling ergometry

Shalaby, Raafat ; Schauer, Thomas ; Liedecke, Wolfgang ; Raisch, Jörg (2011)

Functional electrical stimulation leg cycle ergometry (FESLCE), which is often used as exercise for people with spinal cord injury (SCI), has recently been applied in the motor rehabilitation of stroke patients. Recently completed studies show controversial results, but with a tendency to positive training effects. Current technology is identical to that used in FES-LCE for SCI, whereas the pat...

Recent advances in modeling and analysis of bioelectric and biomagnetic sources

Sander, Tilmann H. ; Knösche, Thomas R. ; Schlögl, Alois ; Kohl, Florian ; Wolters, Carsten H. ; Haueisen, Jens ; Trahms, Lutz (2010)

Determining the centers of electrical activity in the human body and the connectivity between different centers of activity in the brain is an active area of research. To understand brain function and the nature of cardiovascular diseases requires sophisticated methods applicable to non-invasively measured bioelectric and biomagnetic data. As it is difficult to solve for all unknown parameters ...

Control of a mobile rehabilitation robot using exact feedback linearisation

Schauer, Thomas (2013)

This contribution is concerned with the feedback control of a table-placed mobile rehabilitation robot using exact feedback linearisation to precisely track arbitrary position and orientation profiles. An outer control loop exactly linearises and decouples the nonlinear kinematic robot model. This loop also generates reference velocities for the three omnidirectional wheels of the robot that ar...

A novel method for motion artifact removal in wearable ppg sensors based on blind source separation

Pflugradt, Maik ; Rose, Marcus ; Orglmeister, Reinhold (2013)

The recent development of healthcare systems has provided a significant contribution to ambulatory patient monitoring. In that context, signal quality and disturbances induced by noise or motion artifacts play an important role in the field of signal processing tasks. Especially the Photoplethysmogram (PPG) is very liable to movement artifacts which severely hamper the extraction of vital param...

Automatic validation and quality based readjustment of manually scored EEG arousal

Lerch, Dennis ; Penzel, Thomas ; Orglmeister, Reinhold (2013)

A knowledge of arousals during sleep is important to attain a deeper understanding regarding cardiovascular diseases. Manual scoring is time consuming and not always accurate. Automatic approaches are even worse inter alia due to inaccurate learning data. This paper presents an algorithm to improve the accuracy of manually scored data. Also a measure of quality is introduced to judge the automa...

Continuous wrist blood pressure measurement with ultrasound

Weber, Sarah ; Scharfschwerdt, Peter ; Schauer, Thomas ; Seel, Thomas ; Kertzscher, Ulrich ; Affeld, Klaus (2013)

Blood pressure is an important parameter for the development of cardiovascular disease. By monitoring the blood pressure over 24 hours hypertension can be detected and treatment can be started. A new noninvasive long term blood pressure measurement method measures the blood pressure continuously on the wrist using ultrasound, a small balloon and a controller. The pressure is controlled with a v...

Computationally efficient time domain detection algorithm for characteristic points in non invasive continuous blood pressure measurements

Lerch, Dennis ; Orglmeister, Rreinhold (2012)

In this paper a computationally efficient algorithm for continuous blood pressure curve segmentation is presented. It uses only methods in the time domain and can distinguish between systolic, diastolic values and values of calibration steps caused by the continuous blood pressure measuring technique or values of other artefacts. The detection of local extremes, necessary for systolic and diast...

Automatic analysis of systolic, diastolic and mean blood pressure of continuous measurement before, during and after sleep arousals in polysomnographic overnight recordings

Lerch, Dennis ; Orglmeister, Reinhold ; Penzel, Thomas (2012)

This paper deals with a detailed examination of sleep arousal events and the corresponding changes of systolic, diastolic and mean blood pressure. Arousals are short awakening events during sleep which do not become noticeable for the sleeping person. But the organism increases vital parameters, e.g. the blood pressure. The recreative sleep is disturbed, and the risk factor for cardiovascular d...

Breathing synchronized electrical stimulation of the abdominal muscles in patients with acute tetraplegia

Schauer, Thomas ; Stephan, R. ; Niedeggen, A. ; Liebscher, T. ; Dorien, J. ; Seidl, R. O. (2012)


ECG, PPG and ABP sensor fusion for a PCA-based respiratory activity estimation

Mann, Steffen ; Orglmeister, Reinhold (2012)


On-line learning algorithms for extracting respiratory activity from single lead ECGs based on principal component analysis

Pflugradt, Maik ; Mann, Steffen ; Feller, Viktor ; Orglmeister, Reinhold (2012)

In this paper we present several statistic gradient algorithms from literature to solve the Principal Component Analysis (PCA) problem. We used a linear artificial neural network forming the basis of the implemented algorithms which is a neat way for on-line computation of the PCA expansion. As convergence is a key-aspect of these algorithms and is cru-cial for the usefulness in particular appl...