Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning-Based Screening.

ABSTRACT:

Background

Mild cognitive impairment (MCI) is a precursor of dementia. Therefore, MCI identification and monitoring are crucial to delaying dementia onset. Given the limits of existing clinical tests, objective support tools are needed.

Objective

This work investigates quantitative handwriting analysis, tailored to enable domestic monitoring, as a noninvasive approach for MCI screening and assessment.

Methods

A sensorized ink pen, used on paper and equipped with sensors, memory, and a communication unit, was used for data acquisition. The tasks included writing a grocery list and free text to mimic daily life handwriting, and a clinical dictation test (parole-non-parole [PnP] test), featuring regular, irregular, and made-up words, aimed at assessing MCI dysgraphia. Fr

SUBMITTER: Toffoli S 

PROVIDER: S-EPMC12504891 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature