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A Stroke of Insight: Accessible Screening for Cervical Myelopathy via Tablet and Paper Drawings

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cervical myelopathy (CM) is a progressive spinal disorder affecting hand function. We developed two machine learning-based screening methods: one using tablet drawings and another using smartphone-captured paper drawings. In the tablet method, users trace spiral, square, and triangular figures with a stylus, which a convolutional neural network classifies with 95% sensitivity and 85% specificity, exceeding conventional examinations. The smartphone method captures paper drawings, enabling screening without specialized equipment. Together, these approaches provide accessible and reliable CM screening in clinical and non-clinical settings.

Original languageEnglish
Title of host publicationProceedings of MUM 2025 - The 24th International Conference on Mobile and Ubiquitous Multimedia
EditorsSalvatore Sorce, Passant Elagroudy, Mohamed Khamis
PublisherAssociation for Computing Machinery, Inc
Pages486-488
Number of pages3
ISBN (Electronic)9798400720154
DOIs
Publication statusPublished - 2025 Nov 30
Event24th International Conference on Mobile and Ubiquitous Multimedia, MUM 2025 - Enna, Italy
Duration: 2025 Dec 12025 Dec 4

Publication series

NameProceedings of MUM 2025 - The 24th International Conference on Mobile and Ubiquitous Multimedia

Conference

Conference24th International Conference on Mobile and Ubiquitous Multimedia, MUM 2025
Country/TerritoryItaly
CityEnna
Period25/12/125/12/4

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cervical Myelopathy
  • Mobile Health
  • Screening
  • Smartphone
  • Tablet

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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