Metadata-Version: 1.1
Name: pdkit
Version: 0.2.17
Summary: Parkinson`s Disease Kit
Home-page: https://github.com/pdkit/pdkit
Author: J.S. Pons
Author-email: joan@dcs.bbk.ac.uk
License: MIT
Description: .. image:: https://circleci.com/gh/pdkit/pdkit.svg?style=shield
            :target: https://circleci.com/gh/pdkit/pdkit
        
        .. image:: https://readthedocs.org/projects/pdkit/badge/
            :target: https://pdkit.readthedocs.org
        
        #PDKIT
        
        Example how to use pdkit to calculate Tremor amplitude and frequency:
        
            >>> import pdkit
            >>> tp = pdkit.TremorProcessor()
            >>> ts = pdkit.TremorTimeSeries().load(filename)
            >>> amplitude, frequency = tp.process(ts)
        
            where, filename is the data path to load, by default in the cloudUPDRS format.
        
        PDKit can also read data in the MPower format, just like:
        
            >>> ts = pdkit.TremorTimeSeries().load(filename, 'mpower')
        
            where, filename is the data path to load in mpower format.
        
        To calculate Welch, as a robust alternative to using Fast Fourier Transform, use like:
        
            >>> amplitude, frequency = tp.process(ts, 'welch')
Keywords: parkinson`s disease kit
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
