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Related Experiment Video

Updated: Jul 8, 2026

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

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Published on: April 18, 2011

A DICOM-based standard for quantitative physical rehabilitation.

Alessandro Di Matteo¹, Daniele Lozzi¹, Filippo Mignosi¹

¹AVI-Lab, DISIM, University of L'Aquila, L'Aquila, 67100, Italy.

Computational and Structural Biotechnology Journal

|January 7, 2026

Summary

Quantitative physical rehabilitation (QPR) lacks a standard data format. This study introduces a DICOM-based standard (PR-IOD) to improve data sharing, interoperability, and analysis in QPR.

Keywords:

DICOM Information object definition Interoperability PR-IOD Physical rehabilitation Virtual glove

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Last Updated: Jul 8, 2026

Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

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Published on: January 12, 2024

Area of Science:

Medical Informatics
Rehabilitation Medicine
Biomedical Engineering

Background:

Physical rehabilitation (PR) traditionally relies on subjective qualitative data.
Quantitative PR (QPR) offers objective evaluation but faces challenges due to a lack of standardized data formats.
These challenges include limited interoperability, data sharing barriers, and difficulties in temporal and comparative analyses.

Purpose of the Study:

To propose a standardized DICOM Information Object Definition (IOD) for Quantitative Physical Rehabilitation (QPR), termed PR-IOD.
To address the limitations of current QPR data management, including interoperability and data sharing issues.
To facilitate structured data generation and management for improved PR analysis and clinical practice.

Main Methods:

Development of a DICOM Information Object Definition (IOD) specifically for QPR data, named PR-IOD.
Application of the PR-IOD architecture to manage data from a multi-source hand-tracking device (Virtual Glove) used in hand rehabilitation.
Generation, loading, and visualization of DICOM files conforming to the PR-IOD standard using a tailored viewer dashboard.

Main Results:

Successful implementation of the PR-IOD architecture for managing QPR data from a hand-tracking device.
Generation of DICOM-compliant files for QPR data, enabling structured data management.
Demonstration of data visualization capabilities through a specialized viewer dashboard.

Conclusions:

The proposed PR-IOD provides a standardized framework for managing Quantitative Physical Rehabilitation data.
This standardization enhances data interoperability, sharing, and analysis capabilities within PR.
The PR-IOD facilitates objective evaluation and improves the potential for advanced statistical analysis in physical rehabilitation.