PDKIT

TREMOR PROCESSOR

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')

BRADYKINESIA

>>> import pdkit
>>> ts = pdkit.TremorTimeSeries().load(filename)
>>> tp = pdkit.TremorProcessor(lower_frequency=0.0, upper_frequency=4.0)
>>> amplitude, frequency = tp.bradykinesia(ts)

GAIT

Example how to use pdkit to calculate various Gait features:

>>> import pdkit
>>> ts = pdkit.GaitTimeSeries().load(filename)
>>> gp = pdkit.GaitProcessor()
>>> freeze_times, freeze_indexes, locomotion_freezes = gp.freeze_of_gait(ts)
>>> frequency_of_peaks = gp.frequency_of_peaks(ts)
>>> speed_of_gait = gp.speed_of_gait(ts)
>>> step_regularity, stride_regularity, walk_symmetry = gp.walk_regularity_symmetry(ts)

where, filename is the data path to load, by default in the cloudUPDRS format.

FINGER TAPPING

Example how to use pdkit to calculate the mean alternate distance of the finger tapping tests:

>>> import pdkit
>>> ts = pdkit.FingerTappingTimeSeries().load(filename, 'ft_cloudupdrs')
>>> ftp = pdkit.FingerTappingProcessor()
>>> ftp.mean_alnt_target_distance(ts)

kinesia scores (the number of key taps)

>>> ftp.kinesia_scores(ts)

Metadata

Release files for pdkit 0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pdkit 0.4
File	Size	Uploaded
pdkit-0.4.tar.gz	19.6 kB	May 22, 2018	Details

Built distribution (wheel)

Table of built distributions (wheels) for pdkit 0.4
File	Interpreter	ABI	Platform	Reset
pdkit-0.4-py2.py3-none-any.whl 25.2 kB May 22, 2018	Python 3, Python 2	none	any	Details

Total release size: 44.7 kB

Release files / pdkit-0.4.tar.gz

Download URL	pdkit-0.4.tar.gz
Size	19.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`e77f2193b5caae80086cb8c9aba01241586ea2ab2aa2c7a521f9587d23458ad2`
BLAKE2b-256 checksum How to use checksums	`e310ad808765efc4c23b8f117c7bdb5562f718dee8f4e2d7cc82e040ab7945c6`
Upload date	May 22, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / pdkit-0.4-py2.py3-none-any.whl

Download URL	pdkit-0.4-py2.py3-none-any.whl
Size	25.2 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`a6b6f74a7e87a0480fe0c732c3f7506b99cbae249df70238596c80fddc092117`
BLAKE2b-256 checksum How to use checksums	`e216bec5ac8297a0189e36c716137e354b2c5d6a21b453057290033897e8dc7e`
Upload date	May 22, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No