g.tec medical engineering

g.tec medical engineering g.tec is a growing enterprise with two branches in Austria (Graz and Schiedlberg) and distribution partners all over the world.

g.tec medical engineering GmbH is an international leading provider of brain-computer interfaces, neurotechnologies, biosignal amplifiers and wearable EEG headsets. All hardware and software development is done in-house by our team of researchers, engineers and developers. g.tec is also an active member in a number of national and international research projects and is active in scientific publishing. g.tec developed the first commercially available BCI system in 1999 and now sells this system in more than 60 countries worldwide. Our products work with all major BCI approaches (motor imagery, P300, SSVEP and slow cortical potentials), so you can start BCI research within a few hours. The g.tec team tests different BCI technologies on more than 500 subjects internationally to guarantee a perfect working system. Our team is prepared to find the better solution for your needs. Take advantage of our experience!

22/01/2026

🎉 Spotlight on Innovation: BCI Award 2024 Nominee 🎉

🌟 We’re thrilled to highlight an incredible breakthrough in speech decoding using non-invasive, wearable devices, proudly nominated for the prestigious BCI Award 2024! 🌟

🚀 About the Project:
This innovative research focuses on advancing Brain-Computer Interfaces (BCIs) for speech decoding by addressing the challenge of achieving practical accuracy with EEG data. Here's what sets it apart:

1️⃣ Data-Driven Success:
By collecting an unprecedented 175 hours of EEG data from a single participant during speech, researchers developed a self-supervised model that demonstrated continuous improvement with additional data.

2️⃣ Outstanding Accuracy:
The model achieved a 61.3% top-1 accuracy in classifying 512 speech segments, effectively mitigating muscle artifacts even with noisy EEG signals.

3️⃣ Sustained Performance:
Over a seven-month period, the model maintained high accuracy with only 30 minutes of calibration data, proving its reliability for long-term use.

4️⃣ Transfer Learning in Action:
Pre-training with 100 hours of data from one participant improved accuracy by 19.5% compared to training from scratch, showcasing the model’s ability to adapt across individuals.

👏 This groundbreaking work showcases the potential of BCIs to revolutionize speech decoding and expand accessibility to non-invasive neurotechnology.

🔥 Inspired? Submissions for BCI Award 2026 are OPEN!
📅 Deadline: September 1st, 2026
💰 Total Prize: $6,000 USD
📖 Top 12 projects will be invited to publish in the BCI State-of-the-Art series by Springer

🔗 Details: www.bci-award.com/Home

🙏 We are proud sponsors of this prestigious award.

🚀 This was BR41N.IO Hackathon during IEEE SMC Vienna!Each Team spent 24 hours pushing the limits of human–computer inter...
19/01/2026

🚀 This was BR41N.IO Hackathon during IEEE SMC Vienna!

Each Team spent 24 hours pushing the limits of human–computer interaction!

Are you ready for BR41N.IO Hackathon during Spring School from April 25 to 26, 2026? You can already apply for a team!

Whether your passion is BCI, AR/VR, AI, machine learning, gaming, robotics, or signal processing, this hackathon is your playground to learn, collaborate, and create something groundbreaking.

✨ What’s waiting for you:
👉 Hands-on experience with Unicorn Hybrid Black headsets
👉 Cash prizes up to $1000 💰
👉 A global community of experts & innovators 🌍
👉 No prior BCI experience needed—just bring your curiosity and creativity!

🔗 Register now: www.br41n.io/Spring-School-2026

18/01/2026

Experience the future of neurorehabilitation with recoveriX, a groundbreaking system built on 25 years of Brain-Computer Interface (BCI) expertise. Designed for stroke, MS, and Parkinson’s patients, recoveriX is safe, medically certified, and trusted in 20+ countries worldwide. 🌍

How does it work? Patients imagine motor movements thousands of times while recoveriX detects these thoughts in real-time, activating electrical stimulation in the hand or foot. This process reconnects cognitive and motor functions, enabling patients to regain movement—even decades after stroke or diagnosis. The joy of seeing a paralyzed hand move again is unforgettable. It’s never too late to begin your recovery journey!

📩 Contact us: recoverix.com/contact-us/
🌐 Learn more: www.recoverix.com
💸 Get a quote: www.gtec.at/product-configurator/recoverix/
🎥 Watch recovery videos: www.recoverix.com
📊 Study results: www.recoverix.com/stroke-study-results/
📰 As featured in Forbes: https://tinyurl.com/568nzev3

15/01/2026

🌟 We’re excited to showcase groundbreaking research in EEG-based movement intention detection, proudly nominated for the prestigious BCI Award 2024! 🌟

🚀 About the Project:
This pioneering work introduces two advanced approaches to revolutionize the detection of human movement intentions from EEG signals:

1️⃣ Continuous Detection for Stroke Rehabilitation:
Harnessing neural networks, this approach powers the state-of-the-art RECUPERA exoskeleton, enabling robust and reliable online movement intention detection to support post-stroke recovery.

2️⃣ Calibration-Free Therapy:
Say goodbye to lengthy setup times! By leveraging transfer learning, this method eliminates the need for calibration sessions, making BCIs more practical and effective for real therapy scenarios.

👏 This inspiring work highlights the transformative potential of BCIs in rehabilitation and improving lives.

🔥 Inspired? Submissions for BCI Award 2026 are OPEN!
📅 Deadline: September 1st, 2026
💰 Total Prize: $6,000 USD
📖 Top 12 projects will be invited to publish in the BCI State-of-the-Art series by Springer

🔗 Details: www.bci-award.com/Home

🙏 We are proud sponsors of this prestigious award. 🫶

14/01/2026

Unlock the Power of EEG + fNIRS with g.HIsys Professional

🚀 Real-Time Multimodal Neuroimaging Made Easy

g.HIsys Professional enables researchers to combine the best of both worlds: simultaneous acquisition of EEG and fNIRS data, with real-time processing capabilities. This innovative approach is a game-changer for BCI and neuroscience experiments.

🔍 Why Combine EEG and fNIRS?
🔸 EEG: Captures fast, millisecond-scale brain activity.
🔸 fNIRS: Measures long-lasting hemodynamic changes, providing deeper insights into brain function.

Together, they offer a comprehensive view of brain dynamics, allowing researchers to investigate cognitive and motor processes with unmatched precision.

💻 Real-Time Data Processing
With g.HIsys Professional, you can visualize and process both EEG and fNIRS data in real-time, streamlining your workflow and enabling rapid experimentation and analysis.

🌟 Applications
🔸 Brain-computer interfaces (BCI)
🔸 Neurofeedback
🔸 Cognitive workload studies
🔸 Motor and sensory research

👉To learn more about g.HIsys Professional: www.gtec.at/product/ghisys/
👉Explore the capabilities of g.tec Suite 2024: www.gtec.at/product/gtec-suite-2024-software/
👉For quotes or pricing information, visit the g.tec shop: https://www.gtec.at/shop/
👉Read more about g.tec: https://tinyurl.com/k7vakuwj

💬 Ready to push the boundaries of neuroscience research? Let’s explore how g.HIsys Professional can elevate your experiments!

13/01/2026

Before and after recoveriX. g.tec's neurorehabilitation solution, draws on 25 years of BCI expertise. These accomplishments were made possible by recoveriX neurorehabilitation for stroke, MS and parkinsons patients, which is medically certified, safe, and efficient.

👉Please get in contact with us if you are interested in the therapy: www.recoverix.com/contact/
👉To learn more about recoveriX, visit: www.recoverix.com
👉To request a recoveriX system quote or to get pricing information, visit: www.gtec.at/product-configurator/recoverix/
👉To see other pre- and post-videos: www.recoverix.com
👉To read about study results: www.recoverix.com/stroke-study-results/
👉To read more about recoveriX in Forbes, visit: https://tinyurl.com/4v5b8kjw

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G. Tec Medical Engineering GmbH
Schiedlberg

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g.tec medical engineering Austria

g.tec started developing brain-computer interfaces (BCI) about 20 years ago, after presenting the first portable BCI system in 1999 at the BCI Meeting in Rensselaerville, New York. This device had an EEG amplifier within the floppy drive housing of an HP laptop system. From there on, BCI technology evolved rapidly:

In 1999, we demonstrated the first BCI session with 100 % accuracy using a motor imagery BCI system with Common Spatial Patterns. In 2007, we released the first commercial BCI for home use, called intendiX. This P300 speller could achieve 100 % accuracy after only 5 minutes of training. Later in 2013, code based VEPs allowed users to control a robotic device with an accuracy of 98 % in a continuous control task and play World of Warcraft. Around this time, g.tec also became more active with ECoG recordings, which have led to several publications and the cortiQ system. The high spatial resolution of ECoG recordings has made it possible to decode much finer finger movements than noninvasive recordings, and to analyze under-explored brain regions like the fusiform face area in real-time using high-gamma activity.

In 2014, g.tec introduced wireless dry and wet EEG recording systems using active electrodes. This major achievement is still boosting BCI performance and user experience worldwide by improving the signal to noise ratio and ease of use. But what does the future hold for brain-computer interfacing? There are many exciting new directions, and g.tec is focused on extending BCIs with non-invasive and invasive neuromodulation and stimulation technology to further increase accuracy and to broaden application areas.