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Related Experiment Video

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Postural data from Stargardt's syndrome patients.

Agnese Sbrollini1, Valentina Agostini2, Chanda Cavallini3

  • 1Cardiovascular Bioengineering Lab, Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy.

Data in Brief
|April 14, 2020
PubMed
Summary

This study presents a valuable database of postural data from Stargardt syndrome patients and healthy controls. The data aids in understanding balance control and developing rehabilitation strategies for Stargardt

Keywords:
Center of pressureOphtalmologyPostural datasetStargardt's syndrome

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Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Neuroscience

Background:

  • Stargardt syndrome is a rare genetic eye disease linked to the ABCA4 gene mutation.
  • Postural instability is a potential symptom requiring investigation.
  • Understanding balance control is crucial for patient rehabilitation and general population studies.

Purpose of the Study:

  • To create and share a comprehensive database of postural control signals.
  • To facilitate research into the postural adaptations of individuals with Stargardt syndrome.
  • To support the development of rehabilitation strategies and investigate visual balance control.

Main Methods:

  • Acquired postural data from 10 Stargardt syndrome patients and 10 healthy controls.
  • Utilized an 8-channel Kistler force platform and Step32 system for signal acquisition.
  • Collected raw and derived postural signals under eyes-closed, eyes-open with fixation, and eyes-open with tracking conditions.

Main Results:

  • Compiled a database containing 20 MATLAB datasets and subject information.
  • Included 120 raw and 165 derived postural signals per subject, totaling 285 signals.
  • Data covers various force and moment parameters, and center of pressure coordinates.

Conclusions:

  • The database provides a rich resource for studying Stargardt syndrome's impact on posture.
  • It can aid in defining effective rehabilitative procedures for postural instability.
  • The dataset is valuable for broader research on the visual control of balance.