Metadata-Version: 2.1
Name: mitbih-processor
Version: 1.0.4
Summary: Process MIT-BIH Arrhythmia Database records with PyWavelets
Home-page: https://github.com/jorge4larcon/mitbih_processor
Author: Jorge Alarcon
Author-email: jorge4larcon@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: PyWavelets
Requires-Dist: scipy
Requires-Dist: wfdb
Requires-Dist: scikit-learn
Requires-Dist: flask

`mitbih_processor <https://github.com/jorge4larcon/mitbih_processor>`__
=======================================================================

Processing MIT-BIH Arrhythmia database signals never was this easy. Extracting, processing and automatic classification functions for signals in the MITDB from PhysioNet are included. This work was based on the example 4.8 of chapter 4 of the book "Practical Machine Learning for Data Analysis Using Python" by Dr. Abdulhamit Subasi.

Usage
-----

To install this package use the pip tool:

.. code-block:: bash

    $ pip install mitbih_processor

You can use this package via the web browser or calling its functions with custom code. In order to use the web client run:

.. code-block:: bash

    $ python -m mitbih_processor

Documentation
-------------

You can see how to use this module and how it works reading its `Jupyter Notebook <https://nbviewer.jupyter.org/github/jorge4larcon/mitbih_processor/blob/main/demo.ipynb>`_.


