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May 31, 2026Invention Disclosure0 citationsOpen Access

KINMET: An integrated GUI software tool for head-impact kinematic processing and injury metric computation.

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AGAlaa Aldin GhazalSGS. G. Ganpule

Key Points

  • The research aims to develop an open-source tool for processing head-impact kinematic data and computing injury metrics.
  • Designed an integrated GUI software tool named KINMET for processing six-degree-of-freedom kinematic data.
  • Implemented functionality for signal filtering, unit conversion, and automated PDF report generation.
  • Provided features for live signal preview, sampling frequency calculation, and impact event detection.
  • Successfully processes and computes various biomechanical injury metrics including HIC and BrIC.
  • Generates detailed PDF reports with summary tables and plots for effective data visualization.
  • Enhances accessibility and standardization of head injury assessments across various applications.

Abstract

KINMET is an open-source, integrated graphical user interface (GUI) software tool designed to accelerate the computation of head injury indicators from six-degree-of-freedom kinematic data. The software provides a comprehensive workflow for processing raw six-degree-of-freedom measurements, enabling computation of widely used biomechanical injury metrics, including Head Injury Criterion (HIC 15 , HIC 36 ), Brain Injury Criterion (BrIC), Gadd Severity Index (SI), peak resultant linear acceleration and angular velocity, estimated neck forces and moments, and Neck Injury Criterion (Nij). The interface supports selecting data start rows, unit conversion, and configurable signal-filtering options (CFC, Butterworth, Savitzky-Golay, moving average). KINMET automatically generates multipage PDF reports containing summary tables, time-series plots, HIC windows, BrIC and probability curves, neck-load histories, and methodology documentation in addition to a JSON metadata file that is exported for reproducibility. Additional capabilities include live signal preview during the data import stage, automated calculation of sampling frequency, detection of impact event windows, and recommendations for filter parameters based on signal characteristics. This integrated solution addresses the need for accessible, standardized head injury assessment in biomechanics research, automotive safety testing, and sports biomechanics and injury research applications.

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Cite This Study

Ghazal et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd0155783ba022b6fbf46https://doi.org/10.1016/j.inv.2026.100055
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