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Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings

Research Article

SpinalTracking: An Application to Help Track Spinal Deformities

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-60665-6_4,
        author={Estephane Mendes Nascimento and Jo\"{a}o Dallyson S. de Almeida and Geraldo Braz J\^{u}nior and Arist\^{o}fanes Correa Silva},
        title={SpinalTracking: An Application to Help Track Spinal Deformities},
        proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2024},
        month={6},
        keywords={SpinalTracking Mobile App Cobb angle Scoliosis},
        doi={10.1007/978-3-031-60665-6_4}
    }
    
  • Estephane Mendes Nascimento
    João Dallyson S. de Almeida
    Geraldo Braz Júnior
    Aristófanes Correa Silva
    Year: 2024
    SpinalTracking: An Application to Help Track Spinal Deformities
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-60665-6_4
Estephane Mendes Nascimento1,*, João Dallyson S. de Almeida1, Geraldo Braz Júnior1, Aristófanes Correa Silva1
  • 1: Federal University of Maranhão - UFMA
*Contact email: estephane.mn@discente.ufma.br

Abstract

The human vertebral column (HVC) comprises specialized tissues and structures that allow it to support body weight with an extensive range of movement and protect the spinal cord, which is essential for routine activities. HVC deformities are highly prevalent in individuals over 65, affecting between 32% and 68% of this population, and represent a public health problem with a profound impact on society. Physicians evaluate and monitor HVC deformities in practice by physical examination and analyzing imaging tests. In this context, the SpinalTracking App was developed to enable specialists to manually or automatically measure the Cobb angle in X-ray images of the spine of patients with scoliosis, using image processing and deep learning techniques. The measurements provided by the app are stored so that treatment can be monitored. The application obtained a Pearson correlation of 0.94 and 0.92 for the calculation made with the manual measurement functionalities and an average correlation of 0.74 for the automatic calculation. This demonstrated the potential use of SpinalTracking as a tool for measuring and controlling the evolution of each patient’s scoliosis deviation.

Keywords
SpinalTracking Mobile App Cobb angle Scoliosis
Published
2024-06-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-60665-6_4
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