A comprehensive exploration into neurocritical care using EEG data analysis.
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Table of Contents
Exploratory Data Analysis and Journey in Neurocritical Care is a project that delves deep into the analysis of EEG data to understand brain activity in critical care scenarios.
Electroencephalography (EEG) is a non-invasive method used to record electrical activity in the brain. Learn more about EEG here.
Spectrograms play a crucial role in analyzing EEG data. Find out more about their relationship here.
Explore various brain conditions such as Lateralized Periodic Discharges (LPDs), Generalized Periodic Discharges (GPDs), Lateralized Rhythmic Delta Activity (LRDA), and Generalized Rhythmic Delta Activity (GRDA) here.
To get a local copy up and running follow these simple steps.
This is an example of how to list things you need to use the software and how to install them.
Clone the repository ๐
git clone https://github.com/ThecoderPinar/HMS-BrainActivity-Analysiss.gitWelcome to the usage section! Here, you'll find examples and code snippets to help you make the most of this project.
Navigate to the ๐ notebooks directory to find Jupyter notebooks for in-depth data analysis and visualization.
cd notebook/
jupyter notebookCheck out the ๐ data directory (please note, actual EEG data is not provided for privacy and ethical reasons). You can replace the placeholder with your own data.
๐ data
- โโโ train_eegs\1000913311.parquet
- โโโ train_spectrograms\1000189855.parquet
- โโโ sample_submission.csv
- โโโ test.csv
- โโโ train.csv
Explore the ๐ docs directory for comprehensive project documentation, including this README.
cd docs/Navigate to the output directories:
๐ out
- โโโ submission.csv
- โโโ out_image/
- โโโ out_audio/
Explore the analysis and visualization of harmful brain activity in the following Jupyter Notebook:
Feel free to open the notebook to dive into the details of our exploratory data analysis journey! ๐ง ๐
Here's what's coming up for this project:
- ๐ Initial release with basic functionalities.
- ๐ Exploratory Data Analysis (EDA) on EEG data.
- ๐ Implement basic data visualization techniques.
- ๐จ Add advanced visualization features.
- ๐ Include statistical analysis of EEG patterns.
- ๐ Improve documentation for better understanding.
- ๐ค Integrate machine learning models for EEG pattern recognition.
- ๐ Enhance user interface for better user experience.
- ๐ Support for additional EEG datasets.
- โฉ Implement real-time EEG data processing.
- ๐ Provide interactive dashboards for data exploration.
- ๐ค Collaborate with the community to address user feedback.
- โ๏ธ Explore cloud-based EEG data analysis.
- ๐ฑ Develop mobile applications for on-the-go EEG analysis.
- ๐ Continuous improvement based on user feedback and technological advancements.
Feel free to suggest additional features or improvements by opening an issue or reaching out! ๐
Contributions make the open source community thrive. If you'd like to contribute to this project, follow these steps:
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the Apache License 2.0. See LICENSE for more information.
If you want to reach out, feel free to contact me:
Pฤฑnar Topuz - [email protected]
Project Link: https://github.com/QMindSolutions/HMS-BrainActivity-Analysis
Give credit to the tools, libraries, or resources you used or were inspired by in this project. It's a great way to show appreciation.