In these online webinars, researchers, engineers and neurologists learn how to optimize deep brain stimulation, how to record EEG simultaneously with TMS, FES, fNIRS and eyetrackers. The webinars aim to make the most of your research by using the g.tec’s brain-computer interfaces and neurotechnologies. A few hours before the webinar starts, an e-mail invitation will be sent to you. Follow the invitation to Webex (www.webex.com) and get started! Please register at least 2 days before via E-Mail by clicking the registration link and indicate the specific webinar date you wish to attend.
ET/EST – Eastern Standard Time | CET – Central European Time Zone | CEST – Central European Summer Time Zone | HKT – Hong Kong Standard Time
|g.Nautilus fNIRS: Wireless EEG and fNIRS in one device|
|Electroencephalogram (EEG) and functional electrical stimulation (FES) systems|
|Recording bio-signals from different and multiple g.tec amplifiers|
|g.tec's brain-computer interfaces|
|Eyetracking and EEG recording using Tobii and g.tec's neurotechnologies|
|Simultaneous recording of multiple bio-signals|
|Optimizing deep brain stimulation (DBS) procedure|
|Combination of TMS with Simultaneous EEG recording|
g.NAUTILUS FNIRS: WIRELESS EEG AND FNIRS IN ONE DEVICE
February 27, 2020, 16:00 CET
Our new g.Nautilus fNIRS headset will be presented, using motor imagery and arithmetic tasks. Additionally, Simulink models offer the possibility of integrating the entire paradigm and simultaneous EEG and fNIRS recording solution in one package.
RECORDING BIOSIGNALS FROM DIFFERENT AND MULTIPLE G.TEC AMPLIFIERS
February 17, 2020, 10:00 ET
The new powerful Multi-Device DAQ Toolbox from g.HIsys gives the user different possibilities. One may record from multiple persons in parallel using a single computer for the acquisition. Another possible application is ultra high density EEG or ExG acquisition with up to 1024 channels. The toolbox also allows to put multiple data acquisition devices onto different positions of the body.
January 22, 2020, 14:00 CET
February 11, 2020, 14:00 CET
Research groups all over the world have been working enthusiastically on Brain-Computer Interfaces (BCIs), which provide a direct connection from the human brain to a computer. BCIs translate brain activity into control signals for numerous applications, including tools to help severely disabled users communicate and improve their quality of life. BCIs have been used to restore movement, assess cognitive functioning, and provide communication and environmental control.
EYETRACKING AND EEG RECORDING USING TOBII AND G.TEC NEUROTECHNOLOGIES
February 18, 2020, 14:00 CET
The g.EYEtrackingInterfaceTobiiProGlasses toolbox is an add-on for the g.HIsys Highspeed Online process for Simulink. With the combination of Tobii software and g.tec’s Simulink model, you will be able to record EEG data as well as eye movements at the same time. Learn how to record eye movements and link these events with an EEG and how to analyze EEG data in g.BSanalyze.
OPTIMIZING DEEP BRAIN STIMULATION (DBS) PROCEDURE
February 25, 2020, 10:00 CET
Find out how g.tec’s biosignal amplifers and electrical stimulators can be used for optimizing deep brain stimulation. This session gives you insights into the operation of different modes of g.Estim PRO. Furthermore, real-time analysis of local field potentials and/or multi-/single-unit activity acquired from a variety of brain regions will be presented to control the stimulation.
ELECTROENCEPHALOGRAM (EEG) AND FUNCTIONAL ELECTRICAL STIMULATION (FES) SYSTEM
February 02, 2020, 11:00 HKT
g.Estim FES allows you to quickly setup your own closed-loop experiments, for instance for research in stroke rehabilitation. The g.Estim FES Simulink block provides a graphical interface to the g.Estim FES hardware, which can be used to specify the properties of the electrical stimulator, controlling an electrical stimulator (FES) in real-time using our unique MATLAB/Simulink integration. Learn how to operate the toolbox, how easy it is to customize stimulation parameters and feed them to the hardware.