<commit_before>===================
Welcome to mhealthx
===================

`Sage Bionetworks`_ is developing mhealthx as an open source feature extraction pipeline
for mobile health research apps such as mPower_, the Parkinson disease symptom tracking app built on top of Apple's ResearchKit. See our software `documentation`_ and Github `repository`_ maintained by `Arno`_.

|

In particular, please see:

gait_ feature extraction from accelerometer data

tapping_ feature extraction from a touch screen tapping task

`main function`_ that calls all the feature extraction methods

|

----------

**References**

<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, W<NAME>, <NAME>, <NAME>M, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>. `Testing objective measures of motor impairment in early Parkinson's disease: Feasibility study of an at-home testing device. <http://www.ncbi.nlm.nih.gov/pubmed/19086085>`_ Mov Disord 24(4):551-6. **2009**. doi:10.1002/mds.22379. 

<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>. High-accuracy discrimination of Parkinson’s disease participants from healthy controls using smartphones. Movement Disorders 28(10):e12. **2013**.




..
  .. raw:: html
  <div id='r' style='width:400px; height:300px; margin:20px; align:center; background-color:black'></div>

.. _`Sage Bionetworks`: http://sagebase.org
.. _mPower: http://parkinsonmpower.org
.. _documentation: http://binarybottle.github.io/mhealthx/api/index.html
.. _repository: https://github.com/binarybottle/mhealthx
.. _Arno: http://binarybottle.com
.. _gait: http://binarybottle.github.io/mhealthx/api/generated/mhealthx.extractors.pyGait.html
.. _tapping: http://binarybottle.github.io/mhealthx/api/generated/mhealthx.extractors.tapping.html
.. _`main function`: http://binarybottle.github.io/mhealthx/api/generated/mhealthx.extract.html<commit_msg>Update documentation for website.<commit_after>===================
Welcome to mhealthx
===================

`Sage Bionetworks`_ is developing mhealthx as an open source feature extraction pipeline
for mobile health research apps such as mPower_, the Parkinson disease symptom tracking app built on top of Apple's ResearchKit. See our software `documentation`_ and Github `repository`_ maintained by `Arno`_.

|

In particular, please see:

gait_ feature extraction from accelerometer data

tapping_ feature extraction from a touch screen tapping task

`main function`_ that calls all the feature extraction methods

|

----------

**References**

<NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, W<NAME>, <NAME>, Blasucci LM, Shamim EA, <NAME>D, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>. `Testing objective measures of motor impairment in early Parkinson's disease: Feasibility study of an at-home testing device. <http://www.ncbi.nlm.nih.gov/pubmed/19086085>`_ Mov Disord 24(4):551-6. **2009**. doi:10.1002/mds.22379. 

Arora S, Little MA, <NAME>, <NAME>, <NAME>, Dorsey ER. High-accuracy discrimination of Parkinson’s disease participants from healthy controls using smartphones. Movement Disorders 28(10):e12. **2013**.




..
  .. raw:: html
  <div id='r' style='width:400px; height:300px; margin:20px; align:center; background-color:black'></div>

.. _`Sage Bionetworks`: http://sagebase.org
.. _mPower: http://parkinsonmpower.org
.. _documentation: http://sage-bionetworks.github.io/mhealthx/api/index.html
.. _repository: https://github.com/sage-bionetworks/mhealthx
.. _Arno: http://binarybottle.com
.. _gait: http://sage-bionetworks.github.io/mhealthx/api/generated/mhealthx.extractors.pyGait.html
.. _tapping: http://sage-bionetworks.github.io/mhealthx/api/generated/mhealthx.extractors.tapping.html
.. _`main function`: http://sage-bionetworks.github.io/mhealthx/api/generated/mhealthx.extract.html
{'fraction_non_alphanumeric': 0.16226118817063595, 'fraction_numerical': 0.025124313007066214, 'mean_word_length': 5.0, 'pattern_counts': {'":': 0, '<': 56, '<?xml version=': 0, '>': 56, 'https://': 2, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1621254', 'n_tokens_mistral': 1308, 'n_tokens_neox': 1179, 'n_words': 339}