Skip to main content

Time series analysis of tensiomyography (TMG) data

Project description

TMG Toolkit

Utilities for time-series analysis of tensiomyography (TMG) measurement data.

Features include:

  • Extract TMG measurements from a standard TMG Excel file format.
  • Compute the standard TMG parameters Dm, Td, Tc, Ts, and Tr of a time series signal.
  • Compute the derivative of a time series signal.
  • Find accurate extremum values and times of a time series signal using polynomial interpolation.
  • Perform statistical parametric mapping (SPM) analysis of time series signals.
  • Plot time series signals and the results of SPM analysis.

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

tmgtoolkit-0.2.1.tar.gz (31.2 kB view details)

Uploaded Source

Built Distribution

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

tmgtoolkit-0.2.1-py3-none-any.whl (32.0 kB view details)

Uploaded Python 3

File details

Details for the file tmgtoolkit-0.2.1.tar.gz.

File metadata

  • Download URL: tmgtoolkit-0.2.1.tar.gz
  • Upload date:
  • Size: 31.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for tmgtoolkit-0.2.1.tar.gz
Algorithm Hash digest
SHA256 da98d522b796dec56019ec505a266c111d031ea2cdb2de6772a530cf0d6950f4
MD5 9bfaa52f60beb860acc6cafa1ab09bf1
BLAKE2b-256 ca52b49abfe8fefbf63bd170007a853c5d165ec9dbed4ae6da74839ef96c0925

See more details on using hashes here.

File details

Details for the file tmgtoolkit-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: tmgtoolkit-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for tmgtoolkit-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 236f598a6f0f14eb738d021c53054158e76b33e957a8b5bade41e927936c2a73
MD5 c53c61fbc0436d08a11e74e6ae660298
BLAKE2b-256 6bd28cacd9324adeee1efb108d7d9902f7e1679bef02826be3e2aa69f1f412c4

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