Metadata-Version: 2.1
Name: phyaat
Version: 0.0.1
Summary: PhyAAt: Physiology of Auditory Attention
Home-page: https://phyaat.github.io
Author: Nikesh Bajaj
Author-email: bajaj.nikkey@gmail.com
License: MIT
Keywords: phyaat
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: PyWavelets

# 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/)**

<p align="center">
  <img src="https://phyaat.github.io/_images0/ExperimentModel.png" width="500"/>
</p>

<p align="center">
  <img src="https://phyaat.github.io/_images0/EEGViz_Raw1.gif" width="500"/>
</p>


### Requirement :
['numpy','scipy','matplotlib','seaborn','PyWavelet']

## 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
```

## Contents will be updated soon on homepage as well as in the phyaat library

______________________________________

# 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
______________________________________


