Pedro Vieira
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Articles (11)
Back pain is regularly associated with biomechanical changes in the spine. The traditional methods to assess spine biomechanics use ionising radiation. Vertebral Metrics (VM) is a non-invasive instrument developed by the authors in previous research that assesses the spinous processes’ position. However, the spine model used by VM is not accurate. To overcome it, the present paper proposes a pioneering and simple articulated model of the spine built through the data collected by VM. The model is based on the spring–mass system and uses the Levenberg–Marquardt algorithm to find the arrangement of vertebral bodies. It represents the spine as rigid geometric transformations from one vertebra to the other when the extremity vertebrae are stationary. The validation process used the Bland–Altman method to compare the Cobb and the intervertebral angles computed by the model with the radiographic exams of eight patients diagnosed with Ankylosing Spondylitis. The results suggest that the model is valid; however, previous clinical information would improve outcomes by customising the lower and upper vertebrae positions, since the study revealed that the C6 rotation slightly influences the computed angles. Applying VM with the new model could make a difference in preventing, monitoring, and early diagnosing spinal disorders.
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2024
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2021
Collaborators (15)
Paulo A. Ribeiro
Universidade de Aveiro
Maria Raposo
NOVA University of Lisbon
Hugo A. Ferreira
Faculdade de Ciências da Universidade de Lisboa
David Alves Ferreira
Professor auxiliar
Universidade de Aveiro
João M. P. Coelho
Universidade de Aveiro
José Antonio Vega Hidalgo
Adjunt Professor
Universidade de Vigo
Susana Sério
Assistant Professor
Faculdade de Ciências da Universidade de Lisboa
Vasco Silva
Professor Auxiliar Convidado
Egas Moniz Cooperativa de Ensino Superior CRL
Federico Guede
Head
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Carlos A. García-González
Universidade de Santiago de Compostela
Ana Teresa Gabriel
Invited Assistant Professor
Faculdade de Ciências da Universidade de Lisboa
Tânia Gonçalves
University of Lisbon
Iciar Alberdi
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
Leonardo Martins
University of Tampere
Pedro Pinto
Invited Auxiliary Professor
Universidade de Lisboa Faculdade de Farmácia
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