3.eeg_recognation
EEG-with-JetsonNano
| 3.eeg_recognation | EEG-with-JetsonNano | |
|---|---|---|
| 2 | 5 | |
| 26 | 41 | |
| - | - | |
| 1.8 | 5.3 | |
| over 2 years ago | 13 days ago | |
| Python | C | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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3.eeg_recognation
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?
pywt - PyWavelets - Wavelet Transforms in Python
JETGPIO - C library to manage the GPIO header of the Nvidia Jetson boards
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
ironbci - Open-Source Brain-Computer Interface, ADS1299 and STM32
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]
WaveDiff - Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
EEG-BCI-signal-processing - Real-time EEG BCI signal processing by Python
Sonogram-Visible-Speech - A speech and sound anallysis tool.