Brain Products GmbH

Gilching, Germany

Brain Products GmbH

Gilching, Germany

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A sensor device which is suitable for receiving and transmitting signals and can be placed on a test persons head, includes a sensor device housing having a signal pin on its distal side for receiving a signal and a connection on its proximal side for the signal transmission of a signal received by the signal pin. A sensor device holder has an axial through opening in which the sensor device housing is disposed so as to be steplessly axially displaceable. When the sensor device housing is axially displaced relative to the sensor device holder, the sensor device housing does not change its radial orientation. A cap having a plurality of sensor devices is also provided.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2011-ITN | Award Amount: 3.03M | Year: 2012

The ACT Initial Training Network aims to establish a leading European training network devoted to investigating the interplay between action and cognition using a developmental approach. The ACT network represents a collective of scientific and industrial groups at the cutting edge of research in the fields of social development, developmental psychology, cognitive science, developmental neuropsychology, and computational science. The network will train PhD students and produce new technology to answer critical issues in our understanding of human development. A core assumption of the network is that development of perception, motivation, and cognition is grounded in, and develops through, our own actions (von Hofsten, 2004). We learn about our physical environment by actively engaging with the world. As we develop new action capabilities, new elements of the environment become salient to us. This process is especially prominent early in infancy when action capacities and an understanding of the world develop. The nature of developmental research demands a multi-method approach. As a result, we propose to rigorously train ESRs such that they obtain two or more techniques required to study the relationship between brain and behaviour in early social development. We will conduct research and training within and between academic and industry partners on the role of attention in action, prospective control, social interactions, and semantics in action. We will improve technologies so that movement analysis is possible with infants. We will also develop an eye tracking system that links to EEG and we will create tools that are designed specifically for infant EEG data. In addition to these major breakthroughs in our knowledge, we will provide a structured training programme for Early Stage Researchers that capitalizes on cross-European strengths that will produce cutting edge leaders within the field in a unique and timely interdisciplinary training programme.


News Article | November 25, 2016
Site: www.newsmaker.com.au

Notes: Sales, means the sales volume of Adult EEG Cap Revenue, means the sales value of Adult EEG Cap This report studies sales (consumption) of Adult EEG Cap in Global market, especially in United States, China, Europe, Japan, focuses on top players in these regions/countries, with sales, price, revenue and market share for each player in these regions, covering Brain Products ANT Neuro Compumedics Neuroscan BIOPAC Mitsar Medical GTEC Electrical Geodesics BioSemi Mind Media Neuroelectrics ADInstruments Nova Tech EEG Magandmore Market Segment by Regions, this report splits Global into several key Regions, with sales (consumption), revenue, market share and growth rate of Adult EEG Cap in these regions, from 2011 to 2021 (forecast), like United States China Europe Japan Split by product Types, with sales, revenue, price and gross margin, market share and growth rate of each type, can be divided into Type I Type II Type III Split by applications, this report focuses on sales, market share and growth rate of Adult EEG Cap in each application, can be divided into Application 1 Application 2 Application 3 Global Adult EEG Cap Sales Market Report 2016 1 Adult EEG Cap Overview 1.1 Product Overview and Scope of Adult EEG Cap 1.2 Classification of Adult EEG Cap 1.2.1 Type I 1.2.2 Type II 1.2.3 Type III 1.3 Application of Adult EEG Cap 1.3.1 Application 1 1.3.2 Application 2 1.3.3 Application 3 1.4 Adult EEG Cap Market by Regions 1.4.1 United States Status and Prospect (2011-2021) 1.4.2 China Status and Prospect (2011-2021) 1.4.3 Europe Status and Prospect (2011-2021) 1.4.4 Japan Status and Prospect (2011-2021) 1.5 Global Market Size (Value and Volume) of Adult EEG Cap (2011-2021) 1.5.1 Global Adult EEG Cap Sales and Growth Rate (2011-2021) 1.5.2 Global Adult EEG Cap Revenue and Growth Rate (2011-2021) 2 Global Adult EEG Cap Competition by Manufacturers, Type and Application 2.1 Global Adult EEG Cap Market Competition by Manufacturers 2.1.1 Global Adult EEG Cap Sales and Market Share of Key Manufacturers (2011-2016) 2.1.2 Global Adult EEG Cap Revenue and Share by Manufacturers (2011-2016) 2.2 Global Adult EEG Cap (Volume and Value) by Type 2.2.1 Global Adult EEG Cap Sales and Market Share by Type (2011-2016) 2.2.2 Global Adult EEG Cap Revenue and Market Share by Type (2011-2016) 2.3 Global Adult EEG Cap (Volume and Value) by Regions 2.3.1 Global Adult EEG Cap Sales and Market Share by Regions (2011-2016) 2.3.2 Global Adult EEG Cap Revenue and Market Share by Regions (2011-2016) 2.4 Global Adult EEG Cap (Volume) by Application Figure Picture of Adult EEG Cap Table Classification of Adult EEG Cap Figure Global Sales Market Share of Adult EEG Cap by Type in 2015 Figure Type I Picture Figure Type II Picture Table Applications of Adult EEG Cap Figure Global Sales Market Share of Adult EEG Cap by Application in 2015 Figure Application 1 Examples Figure Application 2 Examples Figure United States Adult EEG Cap Revenue and Growth Rate (2011-2021) Figure China Adult EEG Cap Revenue and Growth Rate (2011-2021) Figure Europe Adult EEG Cap Revenue and Growth Rate (2011-2021) Figure Japan Adult EEG Cap Revenue and Growth Rate (2011-2021) Figure Global Adult EEG Cap Sales and Growth Rate (2011-2021) Figure Global Adult EEG Cap Revenue and Growth Rate (2011-2021) Table Global Adult EEG Cap Sales of Key Manufacturers (2011-2016) Table Global Adult EEG Cap Sales Share by Manufacturers (2011-2016) Figure 2015 Adult EEG Cap Sales Share by Manufacturers Figure 2016 Adult EEG Cap Sales Share by Manufacturers Table Global Adult EEG Cap Revenue by Manufacturers (2011-2016) Table Global Adult EEG Cap Revenue Share by Manufacturers (2011-2016) Table 2015 Global Adult EEG Cap Revenue Share by Manufacturers Table 2016 Global Adult EEG Cap Revenue Share by Manufacturers Table Global Adult EEG Cap Sales and Market Share by Type (2011-2016) Table Global Adult EEG Cap Sales Share by Type (2011-2016) Figure Sales Market Share of Adult EEG Cap by Type (2011-2016) FOR ANY QUERY, REACH US@   Adult EEG Cap Sales Global Market Research Report  2016


Noth U.,Goethe University Frankfurt | Laufs H.,Goethe University Frankfurt | Stoermer R.,Brain Products GmbH | Deichmann R.,Goethe University Frankfurt
Journal of Magnetic Resonance Imaging | Year: 2012

Purpose: To describe heating effects to be expected in simultaneous electroencephalography (EEG) and magnetic resonance imaging (MRI) when deviating from the EEG manufacturer's instructions; to test which anatomical MRI sequences have a sufficiently low specific absorption rate (SAR) to be performed with the EEG equipment in place; and to suggest precautions to reduce the risk of heating. Materials and Methods: Heating was determined in vivo below eight EEG electrodes, using both head and body coil transmission and sequences covering the whole range of SAR values. Results: Head transmit coil: temperature increases were below 2.2°C for low SAR sequences, but reached 4.6°C (one subject, clavicle) for high SAR sequences; the equilibrium temperature T eq remained below 39°C. Body transmit coil: temperature increases were higher and more frequent over subjects and electrodes, with values below 2.6°C for low SAR sequences, reaching 6.9°C for high SAR sequences (T8 electrode) with T eq exceeding a critical level of 40°C. Conclusion: Anatomical imaging should be based on T1-weighted sequences (FLASH, MPRAGE, MDEFT) with an SAR below values for functional MRI sequences based on gradient echo planar imaging. Anatomical sequences with a high SAR can pose a significant risk, which is reduced by using head coil transmission. Copyright © 2011 Wiley-Liss, Inc.


An electrode for detecting EEG signals comprises a body comprising a fixture on a first end of the body, and a sensor detachably held by the fixture, wherein the body has an external thread in a portion of the body extending from the first end of the body towards a second end of the body, and the sensor has a brush-like shape with pins protruding off the body. The electrode may be held by an attaching device for holding electrodes for detecting EEG signals, the attaching device comprising a strap including a plurality of holes for accommodating electrodes and a rotary closure connecting a first end of the strap and a second end of the strap.


Patent
Brain Products GmbH | Date: 2012-07-11

An attaching device for holding electrodes for detecting EEG signals comprises a strap including a plurality of holes for accommodating electrodes and a rotary closure connecting a first end of the strap and a second end of the strap. The rotary closure includes a reference electrode and/or a ground electrode which are arranged centrally on a first surface of the rotary closure. The reference electrode and/or the ground electrode are in contact with a forehead when the attaching device is placed on a head and are positioned substantially centrally on a center line of the head.


An electrode for detecting EEG signals comprises a body comprising a fixture on a first end of the body, and a sensor detachably held by the fixture, wherein the body has an external thread in a portion of the body extending from the first end of the body towards a second end of the body, and the sensor has a brush-like shape with pins protruding off the body. The electrode may be held by an attaching device for holding electrodes for detecting EEG signals, the attaching device comprising a strap including a plurality of holes for accommodating electrodes and a rotary closure connecting a first end of the strap and a second end of the strap.


A first apparatus applies magnetic field pulses to a subject, a second apparatus records electric signals of the subject, wherein the electric signals are received as analog signals from the subject while the magnetic field pulses are being applied to the subject. The first apparatus has a generating unit for generating the magnetic field pulses, a first clock generator for generating a first clock, and a first control unit for triggering generation of the magnetic field pulses by the generating unit with a fixed repetition rate based on the first clock. The second apparatus has an analog-to-digital conversion unit for converting the analog signals to corresponding digital signals by sampling each of the analog signals with a sampling rate, a second clock generator for generating a second clock, and a second control unit for causing the analog-to-digital conversion unit to set the sampling rate based on the second clock. A synchronizing unit synchronizes the second clock with the first clock.


Artifacts are removed from EEG signals by segmenting EEG data that are continuously recorded during an MR scan with respect to a time period based on the MR scan, thereby obtaining n temporally consecutive segments of EEG data. For each segment j of the n segments, it is determined whether movement is detected when the segment j is recorded. In the case of no movement, the segment j is selected for a template k. In case movement is detected, EEG data of segments of the n temporally consecutive segments which have been selected for the template k are averaged, thereby obtaining the template k, the template k is subtracted from the EEG data of the segments, k is incremented, and the segment j is selected for the template k. In case no movement is detected and j=n, the segment j is selected for the template k and EEG data of segments of the n temporally consecutive segments which have been selected for the template k are averaged, thereby obtaining the template k, and the template k is subtracted from the EEG data of the segments.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2013-ITN | Award Amount: 3.72M | Year: 2013

We propose a training network based around a linked set of research projects which attempt to improve the diagnosis and rehabilitation of neuropsychological disorders of attention, with each project linked to an external industrial partner in order to commercialise emerging diagnostic and rehabilitation procedures. New diagnostic procedures will link clinical measures of attentional disorders to a detailed mathematical account, which can in turn be linked to computational models of neuronal function. 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. The emerging diagnostic procedures will be used to target individualised rehabilitation for patients, assessing effects of direct brain stimulation, EEG-based biofeedback, cognitive training of attention, and drug intervention. Each project will operate across both academic and industrial partners in the network, giving a unique commercial orientation to the training. Overall the project will advance neuropsychological diagnostics and rehabilitation, while giving trainees state-of-the-art inter-disciplinary research and entrepreneurial skills.

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