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. 2023 Aug:238:107621.
doi: 10.1016/j.cmpb.2023.107621. Epub 2023 May 25.

A smart tablet application to quantitatively assess the dominant hand dexterity

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Free article

A smart tablet application to quantitatively assess the dominant hand dexterity

Alessandra Angelucci et al. Comput Methods Programs Biomed. 2023 Aug.
Free article

Abstract

Background and objective: The Nine-Hole Peg Test (NHPT) is the most used test to assess hand dexterity in clinical practice and is considered the gold standard but only evaluates the time needed to complete the task. The aim of this work is to describe a graphic test on a smart tablet to assess in a quantitative as well qualitative way the dominant hand dexterity and to validate it in a cohort of neurological subjects and healthy controls.

Methods: The task consists in asking the subject to connect with a graphic line the start and the end point of a pre-defined path, with two different widths, in the most precise and fastest way possible. The path is constituted by a 'meander' and a 'spiral' part. The subjects perform the task on a smart tablet with a capacitive pen four times. The three parameters of interest considered at each trial are the execution time, length path, and number of interactions with the border. The app automatically computes these three parameters and stores the completed test files. The results of the digital graphic test are compared to the NHPT results. Healthy and pathological subjects are compared to each other, and performances obtained in different repetitions are compared to assess the learning effect in each population.

Results: 53 subjects with a definitive diagnosis of neurodegenerative/genetic neurological disorders (34 men, mean age 59.1 ± 16.1) and 78 healthy controls (33 men, mean age 42.5 ± 16.3) were recruited. Among the pathological subjects, 31 also performed the NHPT. The graphic test clearly distinguish between the two populations for all parameters of interest. Moreover, compared to the gold standard NHPT, time has a moderate positive correlation (r = 0.57, p ≤ 0.001), whereas interactions and length have a strong positive correlation (r = 0.81, p ≤ 0.001) and (r = 0.69, p ≤ 0.001), respectively.

Conclusions: The proposed digital test can measure in an accurate, quantitative and qualitative way dominant hand disability and can result more informative with respect to the gold standard NHPT. In homogeneous cohort of subjects (for example affected by multiple sclerosis or Parkinson disease), the digital test can be used as an outcome measure in clinical trials as well as a tool for monitoring disease progression at the dominant hand level.

Keywords: Digital health; Dominant hand; Hand dexterity; NHPT; Neurodegenerative disorders.

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Conflict of interest statement

Declaration of Competing Interest Alessandra Angelucci, Andrea Aliverti and Marina Scarlato are co-inventors of an industrial design application on the graphic test described in the paper.

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