Statistical evaluation of tongue capability with visual feedback

Veronica Bratland, Kyle Coda, Mohamad Merei, Leila Ahmadian, Edna M. Babbitt, James L. Patton, Hananeh Esmailbeigi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Analysis of tongue movement would benefit from a reference showcasing healthy tongue capability. We aimed to develop a reference of tongue capability and evaluated the role of visual feedback on the expression of movement. Methods: Using a wireless tracking intraoral wearable device, we composed probability distributions of the tongue tip as subjects were asked to explore the entire sensing surface area. Half of the 32 subjects received live visual feedback of the location of the center of the tongue tip contact. Results: We observed that the visual feedback group was 51.0% more consistent with each other in the position domain, explored 21.5% more sensing surface area, and was 50.7% more uniformly distributed. We found less consistent results when we evaluated velocity and acceleration. Conclusion: Visual feedback best established a healthy capability reference which can be used for designing new interfaces, quantifying tongue ability, developing new diagnostic and rehabilitation techniques, and studying underlying mechanisms of tongue motor control.

Original languageEnglish (US)
Article number2
JournalJournal of neuroengineering and rehabilitation
Volume21
Issue number1
DOIs
StatePublished - Dec 2024

Funding

We would like to extend our sincere gratitude to Nora Qatanani and Asvin Ragunathan for their contribution to data collection. We would also like to thank Giulia Soresini for her outstanding work in the initial study design and data analysis. Finally, we want to give special thanks to Dr. Nick Marjanovic and Davide Bondavalli for their outstanding efforts in the initial development of the Tongue-Trackpad.

Keywords

  • Diagnostic and Rehabilitation techniques
  • Intraoral devices
  • Motor Control
  • Movement Analysis
  • Probability distribution analysis
  • Tongue Movement
  • Visual feedback
  • Wearable Technology

ASJC Scopus subject areas

  • Health Informatics
  • Rehabilitation

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