eeg-uhb 0.1.2

Librería modular para adquisición y procesamiento EEG de UHB

EEG_UHB

Library for Electroencephalography (EEG) signal acquisition and processing using Unicorn Hybrid Black (UHB) commercial equipment using Lab Streaming Layer (LSL).

Install

You can install the library directly from PyPI using pip:

pip install eeg-uhb

Installation from GitHub (optional)

If you want to install the latest version directly from the repository, run:

pip install git+https://github.com/IngAmaury/EEG_UHB_LIBRARY.git

Installation in a Python virtual environment

1. Open a terminal or Anaconda Prompt.
2. Create a new virtual environment (for example: myenv):

python -m venv myenv

• Using Anaconda Prompt:

conda create --name myenv

3. Enable the virtual environment:

• Windows:

myenv\Scripts\activate

• Anaconda Prompt:

conda activate myenv

• macOS/Linux:

source myenv/bin/activate

4. Install the library inside the virtual environment:

pip install eeg-uhb

[!NOTE] It is recommended to install in a virtual environment to avoid conflicts with other system libraries.

Dependencies

The library requires the following dependencies, which will be installed automatically with pip:

• numpy
• pylsl
• scipy
• scikit-fuzzy

[!IMPORTANT] If you want to make the acquisition with Unicorn Hybrid Black you need to install Unicorn Suite Hybrid Black, You can also watch their video tutorial. Within the application, you will need to install the Unicorn Recorder from the Apps section or the Unicorn LSL from the DevTools section.

Use

If you are acquiring through the Unicorn LSL Interface, see the image below, you can use the example code below the image, you must put in the start_adquisition function in the stream_name attribute the same name that you put in the “Streamname” box inside the LSL settings of the Unicorn LSL.

[!TIP] If you have never used the Unicorn LSL Interface before, we recommend that you read its user documentation.

from eeg_uhb import EEGAcquisitionManager
import time

if __name__=='__main__':
    EEG = EEGAcquisitionManager()
    start_time = time.time()
    duration = 0.04  # segundos

    '''
    # Connect to any available stream without saving
    eeg.start_acquisition(stream_name='UN-2023.07.40')  

    # Connect to specific stream and save data
    eeg.start_acquisition(stream_name='UN-2023.07.40', 
                        save=True,
                        save_path='./eeg_data/')
    '''
    
    # the stream_name depends on the one you choose
    EEG.start_acquisition(stream_name='UN-2023.07.40', save=True)
    start = time.sleep(duration)
    print(EEG.data)
    print(f'Length: {len(EEG.data)}')
    EEG.stop_acquisition()

If you are acquiring through the Unicorn Recorder App, see the image below, you can use the example code below the image, you must not put anything in start_acquisition in the stream_name attribute as the app assigns one internally, the other attributes can be used as normal.

from eeg_uhb import EEGAcquisitionManager
import time

if __name__=='__main__':
    EEG = EEGAcquisitionManager()
    start_time = time.time()
    duration = 0.04  # segundos

    '''
    # Connect stream and save data
    eeg.start_acquisition(save=True, save_path='./eeg_data/')
    '''
    
    # the stream_name depends on the one you choose
    EEG.start_acquisition()
    start = time.sleep(duration)
    print(EEG.data)
    print(f'Length: {len(EEG.data)}')
    EEG.stop_acquisition()

License

This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
See the LICENSE file for details.