ironbci
EEG-with-JetsonNano
| ironbci | EEG-with-JetsonNano | |
|---|---|---|
| 15 | 5 | |
| 476 | 40 | |
| - | - | |
| 4.2 | 5.3 | |
| about 1 month ago | 4 days ago | |
| C | C | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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ironbci
- Open Source Brain Computer Interface
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Scientists shared a way to build a compact device for recording brain activity with research-grade signal for $350. The instructions, accompanying documentation, and software are openly available on GitHub.
FWIW, the GitHub link is included in the abstract.
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DIY full instructions, on how to create - a low-cost brain-computer interface
source - https://github.com/Ildaron/ironbci
- First DIY – Brain-computer interface. I added BOM files and video instruction
- Want to create your own brain-computer interface? You can find the instructions on GitHub.
- GitHub - Ildaron/ironbci: Open-Source Brain-Computer Interface, ADS1299 and STM32
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Open-source. The easiest way to the neuroscience with the shield for RaspberryPi
Hello everyone, as you know (or not), a few months ago I published a work about an inexpensive brain interface - ironbci (https://github.com/Ildaron/ironbci) - but I must own up, that the chips shortage slightly increased the cost of the device
- Ironbci: Open-Source Brain Computer Interface
EEG-with-JetsonNano
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Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
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
- Open-Source board for converting Jetson nano to Brain-computer interface
What are some alternatives?
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
JETGPIO - C library to manage the GPIO header of the Nvidia Jetson boards
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]
NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Labrador - EspoTek Labrador is a USB device that transforms your PC or smartphone into a fully-featured electronics lab. This repo holds all of the source code!
rustymind - A driver, parser and real time plotter for NeuroSky MindWave EEG headset
EEG-BCI-signal-processing - Real-time EEG BCI signal processing by Python