Dr. Christoph Guger’s Post

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Founder & CEO @ g.tec medical engineering GmbH | BCI | Neurotechnology

Pangolin Scales project with Anouk Wipprecht 🥰🥰! Anouk has crafted a dress with 64 integrated actuators (32 movable scales, 32 LEDs), and g.tec has connected it to our 1024-channel BCI system, realized with g.Pangolin 🥰🥰🥰. The g.Pangolin electrodes comprise grids with 16 channels each. By situating 64 channels on the human scalp, we can record from 1024 EEG channels. Initially, EEG data from Megi was recorded to calibrate the BCI system, and then, through the dress's API, the actuators were controlled in real-time. 👉To learn more about the Pangolin Dress: https://lnkd.in/d2H2g-uc 👉To read more about the BCI system: https://lnkd.in/dP_Y4iGm 👉To learn more about g.tec: https://lnkd.in/gnZryzQQ 👉To get an offer for the setup: https://lnkd.in/dPuTcsWA #BCI #EEG #gtecmedical #neurotechnology #neuroscience #braincomputerinterface

Miguel Ochoa

IT Director :: PhD Candidate Industrial Engineering Machine Learning, Data Science, Neurology and Epilepsy :: I hold an MBA degree and a bachelor’s degree in computer engineering. Certified in PMP and Scrum

5mo

The evolution towards a better world by enhancing the brain's capacity in limited or complex scenarios is progressing at an increasingly rapid pace. Innovations in mobility and advancements in the treatment of neurological conditions, such as epilepsy, are prime examples of this progress. The integration of artificial intelligence and machine learning in healthcare is revolutionizing the way we understand and treat these conditions. Additionally, brain-computer interfaces are enabling new levels of interaction and control for individuals with physical limitations, paving the way for unprecedented improvements in quality of life.

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