eeg-uhb 0.1.1

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: bash conda create --name myenv python=3.8

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:

(myenv) 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

Use

from eeg_uhb import EEGAcquisitionManager
import time

if __name__=='__main__':
    EEG = EEGAcquisitionManager()
    start_time = time.time()
    duration = 0.04  # segundos
    
    # the stream_name depends on the one you choose
    EEG.start_acquisition(stream_name='UN-2023.07.40')
    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 4.0 International License.
See the LICENSE file for details.