Using Python to Analyze Isometric Force-Time Curves

ABSTRACT The isometric midthigh pull (IMTP) is a commonly used strength diagnostic tool that can give insight into an athlete's force-generating capacities. The resulting force-time curves generated are commonly analyzed using commercial software packages that provide a variety of metrics. Although these software packages are useful, they are often costly and operate as a “black box,” limiting the control over how these metrics are calculated. A template created in Excel can be used to analyze isometric data. However, creating a custom script to analyze isometric trials can be more time-efficient. To provide users with an alternative analysis option, this article provides a guide for selecting IMTP force-time curves and variables for analysis and how to use Python to perform these analyses. Basic procedures are provided to ensure that accurate force-time curves are selected and analyzed, followed by strategies for using Python to read files, filter data, calculate force-time curve variables, graphically present data, and write results to a report are discussed. Although the script provided can be used to analyze the IMTP force-time curve data, it can be modified to examine other metrics as needed by the user (see, Supplemental Digital Content 1, http://links.lww.com/SCJ/A412).

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Publication Details

Journal
Strength and conditioning journal
Published
2024-11-27
DOI
https://doi.org/10.1519/ssc.0000000000000872
Primary Topic
Sports Dynamics and Biomechanics
Type
article
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article

Using Python to Analyze Isometric Force-Time Curves

Tsuyoshi Nagatani, Stuart N. Guppy, G. Gregory Haff, J. Smith
Strength and conditioning journal
Sports Dynamics and Biomechanics
article

Using Python to Analyze Isometric Force-Time Curves

Tsuyoshi Nagatani, Stuart N. Guppy, G. Gregory Haff, J. Smith
article en

Abstract

ABSTRACT The isometric midthigh pull (IMTP) is a commonly used strength diagnostic tool that can give insight into an athlete's force-generating capacities. The resulting force-time curves generated are commonly analyzed using commercial software packages that provide a variety of metrics. Although these software packages are useful, they are often costly and operate as a “black box,” limiting the control over how these metrics are calculated. A template created in Excel can be used to analyze isometric data. However, creating a custom script to analyze isometric trials can be more time-efficient. To provide users with an alternative analysis option, this article provides a guide for selecting IMTP force-time curves and variables for analysis and how to use Python to perform these analyses. Basic procedures are provided to ensure that accurate force-time curves are selected and analyzed, followed by strategies for using Python to read files, filter data, calculate force-time curve variables, graphically present data, and write results to a report are discussed. Although the script provided can be used to analyze the IMTP force-time curve data, it can be modified to examine other metrics as needed by the user (see, Supplemental Digital Content 1, http://links.lww.com/SCJ/A412).

Strength and conditioning journalVol. 47(3)
Edith Cowan University (AU), Coastal Carolina University (US), Conway School of Landscape Design (US), University of Salford (GB)
Openalex Percentile: Top 80%
Sports Dynamics and Biomechanics
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Using Python to Analyze Isometric Force-Time Curves — Tsuyoshi Nagatani, Stuart N. Guppy, et al. · Strength and conditioning journal (2024) | TGRS Research Map | TGRS