Skip to main content

A Python module to calculate an estimation of the Sample Entropy of a time series.

Project description

https://img.shields.io/pypi/v/sampen.svg https://img.shields.io/pypi/pyversions/sampen.svg https://travis-ci.org/bergantine/sampen.svg?branch=master

Partial port of v1.2 C-language code for estimating Sample Entropy using SampEn from PhysioNet to Python.

C-language code last updated 1 November 2004, by George Moody.

Original author Doug Lake. dlake@virginia.edu

Functions ported:

  • normalize_data()

  • sampen2()

Not ported:

  • readdata()

  • sampen()

For more information and the repository please checkout:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sampen-0.0.17.tar.gz (4.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sampen-0.0.17-py2.py3-none-any.whl (11.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file sampen-0.0.17.tar.gz.

File metadata

  • Download URL: sampen-0.0.17.tar.gz
  • Upload date:
  • Size: 4.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/28.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.13

File hashes

Hashes for sampen-0.0.17.tar.gz
Algorithm Hash digest
SHA256 c2d0713130cb12cf32d168db98150d8a9d76595f6af6b6c11f127ea12deae4cf
MD5 2008c22d456fef91cba484d724a33376
BLAKE2b-256 0684ed7335cac6b04e87ffa636d56ff792c859d3601c6f97639a090543ee5d45

See more details on using hashes here.

File details

Details for the file sampen-0.0.17-py2.py3-none-any.whl.

File metadata

  • Download URL: sampen-0.0.17-py2.py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/28.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/2.7.13

File hashes

Hashes for sampen-0.0.17-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7d6cd6aacb08c638d2761af6f57c57b4614ccd759a88f8a1cc713f2cc8cc558a
MD5 d3e7aa26836d4d2537defef509588a09
BLAKE2b-256 e2afc3d1a9a392e8cd6ced1d3137921532e69cd2ba75d9103c32e906c0e4b0cf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page