Objective Accurate finger function assessment is crucial for monitoring the performance of daily hand activities. However, specialized digital applications are lacking for evaluating various finger tasks. This study aims to develop a custom digital biosensing application to assess finger dexterity. Methods We developed a digital biosensing application compatible with smartphones and tablets that enables 3-min testing of finger dexterity, measuring velocity and accuracy for each finger and each movement orientation. Data were collected for the dominant hand from a large cohort of healthy volunteers to establish population norms values. Results The construction of the application involved a comprehensive, multi-stage process designed to ensure functionality, user-friendliness, and cross-platform compatibility using the Flutter framework by Google with specific adaptations for Android and iOS. To evaluate the application and construct population norms, 318 healthy subjects, 197 females and 121 males, mean ± age 37.7 ± 13.5 years, were tested. Velocity was faster for the vertical and horizontal tests than all other tests and fastest for finger 2, while the pinch test was the slowest for all fingers. Deviation from any required test orientation was more evident for the circle test and mainly for finger 5, while the vertical and horizontal orientations were the most unerring. Analysis of finger dexterity by age disclosed better performance in the younger age group ( Conclusions The developed digital application allows immediate evaluation of finger dexterity. The established population norms can provide a comparative standard for assessing patients with disorders like multiple sclerosis, sensory neuropathy, or stroke.
Keywords — Digital application, fingers, dexterity, velocity, touch-screen, accuracy
1.Research problem
Specialized digital applications are lacking for evaluating various finger tasks, though accurate finger-function assessment is crucial for daily hand activities.
2.Contribution
A cross-platform digital biosensing application (Flutter) for 3-minute finger-dexterity testing.
Population norm values established from 318 healthy subjects.
3.Architecture, methodology & evidence status
Evidence & statusThis is a peer-reviewed journal article published in Digital Health (2025). The full text and record of version are held by the publisher; this page is an archival record with a link to the official version.
The abstract above is the authoritative summary of the work as posted at the official source. This archival record does not add results, figures or claims beyond those in the published/posted manuscript. For the complete methodology, results and references, consult the official record.
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Abrahami, M. G., Warszawer, Y., Kalron, A., Shirbint, E., Didikin, M., & Achiron, A. (2025). Development of an interactive biosensing application for assessing finger dexterity. Digital Health. https://doi.org/10.1177/20552076241297734
Michal Greenberg Abrahami, Yehuda Warszawer, Alon Kalron, Emanuel Shirbint, Maria Didikin, and Anat Achiron. 2025. “Development of an interactive biosensing application for assessing finger dexterity.” Digital Health. https://doi.org/10.1177/20552076241297734.
@article{shirbint2025fingerdexteritybiosensing,
title = {Development of an interactive biosensing application for assessing finger dexterity},
author = {Michal Greenberg Abrahami and Yehuda Warszawer and Alon Kalron and Emanuel Shirbint and Maria Didikin and Anat Achiron},
year = {2025},
doi = {10.1177/20552076241297734},
url = {https://doi.org/10.1177/20552076241297734},
note = {Peer-reviewed journal article}
}
TY - JOUR
AU - Michal Greenberg Abrahami
AU - Yehuda Warszawer
AU - Alon Kalron
AU - Emanuel Shirbint
AU - Maria Didikin
AU - Anat Achiron
TI - Development of an interactive biosensing application for assessing finger dexterity
PY - 2025
DO - 10.1177/20552076241297734
UR - https://doi.org/10.1177/20552076241297734
N1 - Peer-reviewed journal article
ER -