Metadata-Version: 2.1
Name: phyaat
Version: 0.0.3
Summary: PhyAAt: Physiology of Auditory Attention
Home-page: https://phyaat.github.io
Author: Nikesh Bajaj
Author-email: bajaj.nikkey@gmail.com
License: MIT
Project-URL: Documentation, https://phyaat.readthedocs.io/
Project-URL: Say Thanks!, https://github.com/Nikeshbajaj
Project-URL: Source, https://phyaat.github.io
Project-URL: Tracker, https://github.com/Nikeshbajaj/phyaat/issues
Keywords: phyaat auditory-attention attention eeg physiological-signals physiology predictive-analysis artifact EEG EDA Biomedical-signals Electroencephalogram Galvanic-Skin-Response GSR photoplethysmogram PPG
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Visualization
Description-Content-Type: text/markdown
License-File: LICENSE

# PhyAAt: Physiology of Auditory Attention
## Predictive analysis of auditory attention from physiological signals

### **[Project Homepage](https://phyaat.github.io)**
### **[PyPi - project](https://pypi.org/project/phyaat/)**

### Links: **[Homepage](https://phyaat.github.io)** | **[Documentation](https://phyaat.readthedocs.io/)** | **[Github](https://github.com/Nikeshbajaj/phyaat)**  |  **[PyPi - project](https://pypi.org/project/phyaat/)** |     _ **Installation:** [pip install phyaat](https://pypi.org/project/phyaat/)
-----

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-----
## Table of contents
- [**Installation**](https://github.com/Nikeshbajaj/phyaat#installation)
- [**Getting Started**](https://phyaat.github.io/introduction.html)
- [**Examples with Notebooks**](https://phyaat.github.io/modeling/)
- [**Publications**](https://phyaat.github.io/authors#publicaions)
-----


<p align="center">
  <img src="https://phyaat.github.io/assets/images/ExperimentModel.png" width="700"/>
</p>

<p align="center">
<img src="https://github.com/PhyAAt/PhyAAt.github.io/blob/master/assets/images/EEGViz_Raw1.gif" width="500"/>
</p>

### Requirement :
['numpy','scipy','matplotlib','spkit']

## Installation

### with pip

```
pip install phyaat
```

### Build from the source
Download the repository or clone it with git, after cd in directory build it from source with

```
python setup.py install
```

## Getting Started

For starting check here - **[Getting Started](https://phyaat.github.io/introduction.html)**



#### Contents are being updated on the webpage continuously, please check there for updates

______________________________________

# Contacts:

* **Nikesh Bajaj**
* http://nikeshbajaj.in
* n.bajaj@qmul.ac.uk
* bajaj.nikkey@gmail.com
### PhD Student: Queen Mary University of London & University of Genoa
______________________________________
