semvec/pypi-packages huggingface dataset:
mitbih-processor 1.0.4
Process MIT-BIH Arrhythmia Database records with PyWavelets
License: MIT

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