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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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Development of an interactive biosensing application for assessing finger dexterity.

Michal Greenberg Abrahami1, Yehuda Warszawer1, Alon Kalron1,2

  • 1Multiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel.

Digital Health
|March 6, 2025
PubMed
Summary

A new digital biosensing app assesses finger dexterity in 3 minutes, providing immediate results. Population norms established can aid in evaluating patients with neurological disorders affecting hand function.

Keywords:
Fingersaccuracy.dexteritydigital applicationtouch-screenvelocity

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Area of Science:

  • Biomedical Engineering
  • Digital Health
  • Rehabilitation Technology

Background:

  • Accurate assessment of finger function is vital for daily activities.
  • Existing methods for evaluating finger dexterity are limited, lacking specialized digital tools.
  • There is a need for accessible and efficient digital applications for finger function assessment.

Purpose of the Study:

  • To develop a custom digital biosensing application for assessing finger dexterity.
  • To establish population norms for finger dexterity using the developed application.
  • To create a user-friendly, cross-platform tool for immediate finger function evaluation.

Main Methods:

  • Developed a smartphone/tablet-compatible digital biosensing application using the Flutter framework.
  • Implemented a 3-minute testing protocol measuring velocity and accuracy for each finger and movement orientation.
  • Collected data from 318 healthy volunteers (197 female, 121 male) to establish population norms.

Main Results:

  • Finger 2 demonstrated the fastest velocity in vertical and horizontal tests; pinch tests were slowest.
  • The circle test showed the most deviation, particularly for finger 5; vertical and horizontal orientations were most accurate.
  • Younger individuals (<35 years) exhibited better finger dexterity; gender had no significant effect on velocity or deviation.

Conclusions:

  • The developed digital application provides immediate finger dexterity evaluation.
  • Established population norms serve as a benchmark for assessing patients with conditions affecting hand function, such as multiple sclerosis, sensory neuropathy, or stroke.