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.

Metadata

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

Source distribution for tmgtoolkit 0.2.1
File	Size	Uploaded
tmgtoolkit-0.2.1.tar.gz	31.2 kB	Apr 23, 2026	Details

Table of built distributions (wheels) for tmgtoolkit 0.2.1
File	Interpreter	ABI	Platform	Reset
tmgtoolkit-0.2.1-py3-none-any.whl 32.0 kB Apr 23, 2026	Python 3	none	any	Details

Total release size: 63.2 kB

Download URL	tmgtoolkit-0.2.1.tar.gz
Size	31.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`da98d522b796dec56019ec505a266c111d031ea2cdb2de6772a530cf0d6950f4`
BLAKE2b-256 checksum How to use checksums	`ca52b49abfe8fefbf63bd170007a853c5d165ec9dbed4ae6da74839ef96c0925`
Upload date	Apr 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.3`

Download URL	tmgtoolkit-0.2.1-py3-none-any.whl
Size	32.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`236f598a6f0f14eb738d021c53054158e76b33e957a8b5bade41e927936c2a73`
BLAKE2b-256 checksum How to use checksums	`6bd28cacd9324adeee1efb108d7d9902f7e1679bef02826be3e2aa69f1f412c4`
Upload date	Apr 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.3`