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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
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.
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.
