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Logo: Institute of Microelectronic Systems
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Logo: Institute of Microelectronic Systems
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System Design

BECCAL-I

Bild zum Projekt BECCAL-I

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Dipl.-Ing. Christian Spindeldreier

Duration:

August 2018 - Dezember 2019

Funded by:

"National Space Program" of the Federal Ministry for Economic Affairs and Energy (BMWi)

Brief description:

Scope of the bilateral BECCAL-I of DLR and NASA is the design of a platform for atom optic experiments on board of the international spece station. Within the project the Institute of Microelectronic Systems will develop and evaluate platforms and algorithms for digital signal processing in space.

 

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ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes

Bild zum Projekt ZIM D-Sense - Entwicklung eines Testsystems zur Diagnostik sensomotorischer Regulationsfähigkeit für Sportler

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

M.Sc. Fritz Webering, M. Sc. Niklas Rother

Duration:

2017-2019

Funded by:

„Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy

Brief description:

The aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.

 

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Efficient Real-time Processing of EEG-Signals

Bild zum Projekt Efficient Real-time Processing of EEG-Signals

Supervisor:

Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

Marc-Nils Wahalla, Dipl.-Ing.

Brief description:

A brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.

 

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Architekturen und Algorithmen für Hochtemperatur-Signalverarbeitung

Bild zum Projekt Architekturen und Algorithmen für Hochtemperatur-Signalverarbeitung

Supervisor:

Prof. Dr.-Ing. habil H. Blume

Researcher:

M.Sc. Tobias Volkmar

Brief description:

In dem kooperativen Industrieprojekt entstehen zusammen mit der Firma Baker Hughes Architekturen für das Einsatzgebiet der Hochtemperatur-Elektronik. Ein besonderer Schwerpunkt ist hierbei die Erforschung von Kommunikations-Algorithmen für dieses Einsatzgebiet.

 

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QUANTUS IV - MAIUS

Bild zum Projekt QUANTUS IV - MAIUS

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Dipl.-Ing. Christian Spindeldreier

Duration:

August 2014 - December 2021

Funded by:

"National Space Program" of the Federal Ministry for Economic Affairs and Energy (BMWi)

Brief description:

The Institute of Microelectronic Systems supports physical experiments in space in the QUANTUS IV - MAIUS Project. Within the project platforms and algorithms for digital signal processing in space will be delevoped and evaluated.

 

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