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Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
1 project | news.ycombinator.com | 27 Jan 2023

Artificial intelligence has made significant advances in recent years and this has had an impact on the field of neuroscience. As a result, different architectures have been implemented to extract features from EEG signals in real time. However, the use of such architectures requires a lot of computing power. As a result, EEG devices typically act only as transmitters of EEG data, with the actual data processing taking place in a third-party device. That's expensive and not compact. In this paper, we present a shield that allows a single-board computer, the Jetson Nano from Nvidia, to be converted into a brain-computer interface and, most importantly, the Jetson Nano's capabilities allow machine learning tools to be used directly on the data collection device. Here we present the test results of the developed device. https://github.com/HackerBCI/EEG-with-JetsonNano
With deep learning to neuroscience world with shield for jetson nano – JNEEG
1 project | news.ycombinator.com | 1 Jan 2022
Open-Source board for converting Jetson nano to Brain-computer interface
1 project | /r/nvidia | 23 Dec 2021

1 project | /r/JetsonNano | 23 Dec 2021

1 project | news.ycombinator.com | 23 Dec 2021
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www.influxdata.com | 7 May 2024

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Pi-EEG/EEG-with-JetsonNano is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.

The primary programming language of EEG-with-JetsonNano is C.

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