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R&D Projects

Contact: cooperation[at]brainproducts.com ()

Current International R&D Projects


01.11.2017 - 31.10.2018

Scientist for neurophysiological research applications in Mobile Brain/Body Imaging (MoBI)

Project Summary: The project will start September 1st and has a duration of 12 months. The H2020 SME Innovation Associate is a new pilot action under the EU Research und Innovation Framework Programme „Horizon 2020“ supporting European SMEs to recruit post-doctoral research associates from other countries to explore an innovation business idea.

The aim of Brain Products within this project is to enforce the engagement in the innovative and promising field of wearable technologies and Mobile Brain/Body Imaging (MoBI). MoBI is a new approach to imaging the human brain dynamics supporting natural cognition. It overcomes the restrictions of traditional brain imaging methods and allows to investigate the brain dynamics supporting cognition that unfolds in synchrony with active behavior. This is an emerging research field, where increasing numbers of laboratories, institutes, universities, and companies take part. We want to further develop this research field by connecting research institutes and companies interested in MoBI with our company. Our aim is to develop and deliver new products for wearables and MoBI research. One action we already are engaged in is our own award, the MoBI Award, to recognize excellence in Mobile Brain/Body Imaging in the fields of sports, neuroadaptive technologies, neuroergonomics, and rehabilitation.

EUThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739628.


01.01.2017 - 30.11.2017

Improving EEG quality during simultaneous MRI: Commercial proof of concept

Project Summary: This project started on January 1st and has a duration of 11 months. The coordinating institution is the Australian Florey Institute of Neuroscience and Mental Health. The project is supported by a bridging grant of the Australian government.

Researchers at the Florey Institute have invented a sensor that directly detects and removes MRI (magnetic resonance imaging) artefacts from simultaneously acquired EEG (electroencephalography). This development is a critical step toward making the EEG/fMRI routinely accessible in the clinical domain, e.g. for investigations of epilepsy. In this project, the Florey Institute partners with Brain Products to demonstrate commercial proof of concept for this device. The Florey Institute will build prototype artefact detectors according to methods they have developed and validated in a research setting. Brain Products will then install and evaluate these detectors at key strategic sites. Independent validation of efficacy at these sites will provide the required proof of concept to proceed to the next phase of commercialisation.


Support for training and career development of researchers (Marie Curie)

FP7 – PEOPLE - Initial Training Networks (ITN)

The Marie Curie Initial Training Networks (ITN) are known for their goal of improving the career prospects of early-stage researchers in both the public and private sectors, making research careers more attractive to young people. A transnational networking mechanism is aimed at structuring the existing high-quality initial research training capacity throughout EU Member States and associated countries.


01.10.2013 - 30.09.2017

INDIREA – Individualised Diagnostics and Rehabilitation of Attention

Project Summary: This project kicked off on 1 October 2013 and will end after 48 months in 2017. The coordinating institution is the Department of Experimental Psychology at the University of Oxford (United Kingdom). The other full partners in the network come from: Ludwig-Maximilians-University Munich (Germany), University of Copenhagen (Denmark), Otto-von-Guericke University Magdeburg (Germany), University Pompeu Fabra (Spain), and Trinity College Dublin (Ireland).

The objective of this European network is to improve the diagnosis and rehabilitation of neurophysiological disorders of attention. New diagnostic procedures will link clinical measures of attentional disorders to a detailed mathematical account and to computational models of neuronal functions. These behavioural measures will be integrated with brain imaging indices (using fMRI, EEG, MEG) to explain attentional disorders at a neural as well as a functional level.

Our young researcher who is involved in this project has a Master’s degree from the University of Warsaw. His name is Natan Napiorkowski, he studied physics and neuropsychology.


Past International R&D Projects


01.01.2013 - 31.12.2016

LanPercept – Language and perception

Project Summary: This project started in the beginning of 2013 and will have a duration of 48 months. The network is coordinated by the Norwegian University of Science and Technology (NTNU) and includes the following universities and industrial partners across Europe: University of Bielefeld, University of Saarland (Germany), University of Sevilla (Spain), Erasmus University of Rotterdam (Netherlands), University of Northumbria at Newcastle (UK), Aston University (UK), Syddansk University (Denmark), Tobii Technology (Sweden), Fundation Institute of Valencia for Neurorehabilitation (Spain).

This network provides an unique approach to understanding the interaction between two central cognitive systems: language and perception bridging the translational gap between basic and applied research, both in clinical settings and in industry.

Brain Products is an associated partner offering secondments for early stage researchers and contributing to the analysis of combined eye-tracking and EEG data.


01.01.2012 - 31.12.2015

ACT – Action Research: Improving understanding and methodologies in early development

Project Summary: This project kicked off on 1 January 2012 and will have a total duration of 48 months. The University of Lancaster (UK) is responsible for coordinating all efforts and tasks of the consortium. The other partners in the network are Birkbeck, University of London (UK), Tobii Technology (Sweden), Stichting Katholieke Universiteit Nijmegen (Netherlands), Uppsala Universitet (Sweden), and the company Qualisys AB (Sweden).

We employed an early-stage researcher (ESR), Oscar Portoléz Marín, who is Spanish and has just received his Master’s degree. He will be funded for 36 months while conducting a project on the creation of trial analysis tools that are suitable for use with infant populations.


01.01.2012 - 31.12.2015

NETT – Neural Engineering Transformative Technologies

Project Summary: This project kicked off on 1 January 2012 and will have a total duration of 48 months. The coordinating institution is the School of Mathematical Sciences at the University of Nottingham (United Kingdom). The other full partners in the network are Bit&Brain Technologies (Spain), Consiglio Nazionale delle Richerche (Italy), Imperial College of Science, Technology and Medicine (UK), Stichting Katholieke Universiteit (Netherlands), Universidade do Minho (Portugal), Universitat Politecnica de Catalunya (Spain). Brain Products is only an associated partner, i.e. we do not host an ESR, but we offer a BCI workshop and some short internships for young scientists who want to know more about the most up-to-date EEG technology.

Contact: cooperation[at]brainproducts.com ()

Current National R&D Projects


01.03.2017 – 29.02.2020

AMoRSA – Adaptive and highly motivating platform for the rehabilitation of patients with arm palsy following a stroke

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: 16SV7753

In collaboration with:
Eberhard Karls University of Tuebingen, Institute of Medical Psychology and Behavioral Neurobiology; Promotion Software Tuebingen

Abstract: In Germany, there are hundreds and thousands of people which are paralyzed as a consequence of a crippling stroke. They suffer from a low quality of life and the costs for the health care system are high. In this project we want to create an intelligent rehabilitation platform for patients with arm palsy. The core of this system is a Brain Muscle Machine Interface, which navigates a robot linked to the paralyzed arm of the patient. The feedback of this movement reactivates defective connections to the brain. The rehabilitation platform is embedded in a serious game which integrates health data, monitors the training progress and motivates the patient in a continuous way. The succes of the rehabilitation acitivity becomes visible and comprehensible.

  • more information (coming soon)

01.02.2017 – 31.01.2020

CoMiCon – Brain Computer Interface for patients in minimal conscious state

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: 16SV7699K

In collaboration with:
NIRx Medizintechnik Berlin; Eberhard Karls University of Tuebingen, Institute of Medical Psychology and Behavioral Neurobiology; BDH-clinic Hessisch-Oldendorf. Brain Products is the overall coordinator of the project.

CoMiConAbstract: Patients in minimal conscious state (MCS), e.g. locked-in patients, are excluded from common communication channels. Adaptive Brain Computer Interfaces (BCI) shall diagnose the vigilance of the patient and enable certain ways of communication. The aim of the project is to join electroencephalography (EEG) and Near-InfraRed-Spectroscopy (NIRS) in one mobile system and to combine this system with music and process oriented communication. In this way, optimal conditions for the communication between patients, relatives and caregivers should be accomplished. This system will be used in intensive care, nursing homes and in home care.

  • more information (coming soon)

01.11.2015 – 30.04.2018

Entwicklung und wissenschaftliche Evaluation eines neuartigen MR-kompatiblen Elektroenzephalographie-Systems zur multimodalen und multiparametrischen Analyse von Struktur und Funktion des Gehirns

Bayerische ForschngsstiftungFunded by: Bayerische Forschungsstiftung

Grant no.: AZ-1160-15

In collaboration with:
University Hospital Großhadern (Munich Germany)

Abstract: The goal of this project is the development and scientific evaluation of a new MR-compatible EEG system for the multimodal and multi-parameter analysis of the brain structure and its function.


01.06.2015 – 31.05.2017

Sleep booster

ZIMFunded by the Federal Ministry of Economics and Technology, based on a German Bundestag decision

Grant no.: KA2986503KJ4

In collaboration with: University of Luebeck

Abstract: In this project we want to develop an innovative system for "learning while sleeping" based on study results from the University of Luebeck. We will apply EEG for detecting the slow oscillations (around 1 Hz) in the user's deep sleep phase and boost their memory by acoustic stimulation in selected moments. Scientists have found out that these slow oscillations are important for the formation of our declarative long-term memory. Of course, it is still necessary to learn before going to bed.


01.01.2015 – 31.12.2017

EMOIO - Brain-Computer-Interface for emotion detection in neuro-adaptive assistance systems

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: 16SV7198

In collaboration with: Fraunhofer IAO Stuttgart; NIRx Medizintechnik Berlin; University of Tuebingen, Institute of Medical Psychology and Behavioral Neurobiology + Institute of Psychology; University of Stuttgart, Institute for Working Environment and Technology Management

Abstract: Assistive and adaptive systems offer a great potential for supporting users in various conditions. They are especially convenient for elderly people because they help them master technical products that become more and more complex. In this project we strive to detect the users' emotional-affective reactions in human-machine environments and to give these information back to the system in order to adapt its function to the needs and preferences of the single user. For this purpose we apply combined electroencephalography (EEG) and Near-InfraRed-Spectroscopy (NIRS).


Past National R&D Projects


01.09.2012 – 31.08.2014

Universal EEG based measuring and analyzing procedure for market research

ZIMFunded by the Federal Ministry of Economics and Technology, based on a German Bundestag decision

Grant no.: ZIM KF2986501KJ2

In collaboration with: K&A Brand Research, Röthenbach b. Nürnberg; Leibniz Research Centre for Working Environment and Human Factors,(IfADo) Dortmund

Abstract: Neuromarketing represents an interesting challenge for the future. Our main objective is to develop a comfortable, convenient EEG cap or headset that can be used in market research for large test groups. In addition, we aim to create an algorithm during a classification procedure that will detect the meaning of brain activity in different cortex areas.

We want to explain how the exposure to a message made up of images, text, and audio is able to trigger persisting stimuli in the consumer’s mind leading to an interest, preference, and purchase intent for a specific object. This is important because marketers should be reassured that a new advertising campaign will work and not waste money.


01.06.2012 – 31.05.2015

BCI live: Brain computer Interface – long-term interface for verbal expression

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: ZIM 16SV5838K

In collaboration with: Technische Universität Berlin, Machine Learning Group; University of Tuebingen, Institute of Medical Psychology and Behavioral Neurobiology

Abstract: Our objective is to develop a robust communication system for people with severe paralysis that is easy to use and even applicable when the oculomotor abilities are impaired. The system control will be based on efficient algorithms and a general classificator using not only a visual but also an auditory speller “driven” by the patient. For this purpose, we will develop a new electrode cap with special electrodes that assure a good signal quality over several hours and comfort for the user at home. Moreover, Brain Products will adapt its sensor and amplification technology to the special requirements. At the end of the project, the prototype will be used by a group of patients under the guidance of the Tuebingen research group in order to identify and eliminate remaining problems. In addition, a range of ethical questions are examined that rise with the application of such a communication system.


02.11.2009 – 31.12.2011

Development of a reliable and error-tolerant pattern recognition procedure in the area of BCI based on HTM

ZIMFunded by the Federal Ministry of Economics and Technology, based on a German Bundestag decision

Grant no.: ZIM EP091912 (single project)

Abstract: Our objective was to recognize EEG patterns with a much higher reliability than the current standard. These patterns are a necessary basis to “translate” the brain activity into commands for communication purposes of stroke survivors or nearly locked-in patients. Finally, it will be possible to raise the letter spelling frequency, shorten the reaction time and reduce recognition errors. The procedure enables us to get more information from a higher number of channels. It is based on the Hierarchical Temporal Memory (HTM) method developed by Jeff Hawkins and Dileep George from the company Numenta.

The projects results represent an important step towards extracting reliable information on the human thought-process using EEG data.


01.05.2009 – 30.04.2012 (extended: 31.10.2012)

Wireless acquisition of local field potentials and electrical stimulation of cerebral cortex for medical diagnostics and neuroprosthetics

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: 01EZ0867

In collaboration with: Bremen Institute of Technology (ZKW, IMSAS, ITEM); University of Bonn (Epileptology)

Abstract: The objective was to develop a wireless system for use in epilepsy diagnostics and neuroprosthetics.The plan was that implanted electrode grids send EEG data wirelessly to a receiver (outside the head) where the signals can be analyzed in real-time (spike detection). Based on the categorized data, feedback is transmitted to the electrodes and electrical stimulation is given. The whole system should be portable and the power for both the electrodes and the stimuli is delivered externally.

However, there were several problems in combining the various development steps, so that the project was extended by half a year.


01.11.2005 – 31.03.2009

FaSor – Driver as Sensor

BMBFFunded by the Federal Ministry of Education and Research (BMBF)

Grant no.: 16SV2233

In collaboration with: DaimlerChrysler; Charité Berlin; idalab Berlin; Fraunhofer Institute for Computer Architecture and Software Technology, Berlin

Abstract: The FaSor project was focused on the interaction between driver, car, and environment. Modern cars are equipped with various sensor technologies designed to increase both driver and traffic safety. Microsleep is one of the most frequent causes of accidents. Therefore, our study was aimed at detecting levels of vigilance while driving. In addition to images from a variety of cameras (front, back, driver), other relevant data such as steering wheel movements, speed and distance measurements were recorded synchronously with EEG data during the course of numerous 8-hour driving sessions. The driver, wearing our EEG cap, acted as the additional sensor.

Our objective was to develop a technology that makes it possible to record reliable EEG data during real driving sessions in a car and to eliminate artifacts created by seat heating and head movements which interfere with the EEG.

The experience gained within this project has contributed to the development of a new electrode cap – actiCAP – which can be used to record top-quality data in real-life environments.

R&D Collaborations

Contact: cooperation[at]brainproducts.com ()

UCL – Institute of Neurology
Department of Clinical and Experimental Epilepsy, London, Great Britain
Prof. Louis Lemieux
Dr. David Carmichael (EPSRC project)

  • Objective: Develop methods to improve quality of EEG data recorded during EEG-fMRI, particularly intra-cranial EEG

University of Nottingham
Sir Peter Mansfield Magnetic Resonance Centre, Nottingham, Great Britain
Prof. Richard Bowtell, Dr. Karen Mullinger

  • Objective: Understanding and reducing artefacts in simultaneous acquired EEG and fMRI data

University of Reading
Department for Cognitive Science, Reading, Great Britain
Dr. Etienne Roesch (EPSRC project)

  • Objective: Develop analysis methods for combined EEG-fMRI

Rhine-Waal University of Applied Sciences
Technology and Bionics, Kleve, Germany
Prof. Dr.-Ing. Ivan Volosyak

  • Project: Brain-Computer-Interfaces suitable for daily life in old age (ABCI). In the context of the BMBF line of funding for promoting young engineers (01.01.2014 – 31.12.2015).