DEVELOPMENT OF NEUROMORPHIC ARTIFICIAL INTELLIGENCE FOR PHYSIOTHERAPEUTIC POSTURAL ASSESSMENT INTEGRATED WITH OPENCV

Authors

  • Antonio Wanzeler Neto
  • Thiago Nicolau Magalhães de Souza Conte
  • Wilker José Caminha dos Santos
  • Wanderson Alexandre da Silva Quinto
  • Armando José de Sá Santos
  • Beatriz Sampaio Quinto
  • Alan Marcel Fernandes de Souza

Keywords:

Neuromorphic Artificial Intelligence, OpenCV, Physiotherapeutic Postural Assessment, Automated Musculoskeletal Diagnostics

Abstract

This paper presents the development of a computational system aimed at automating physiotherapy postural assessments, using neuromorphic artificial intelligence and computer vision techniques with the OpenCV library in Python. The system captures images of patients during assessments and performs advanced analyses using neuromorphic networks to identify and predict postural deviations, contributing to more accurate diagnoses of musculoskeletal pathologies. The proposal will be implemented in a clinic located in Mocajuba, Pará, aiming to increase the efficiency of postural monitoring, reduce manual errors, and optimize the time of physiotherapy professionals.

DOI: https://doi.org/10.56238/sevened2025.031-005

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Published

2025-08-06

Issue

Contemporary Dialogues in Health Sciences

Section

Articles

License

Copyright (c) 2025 Antonio Wanzeler Neto, Thiago Nicolau Magalhães de Souza Conte, Wilker José Caminha dos Santos, Wanderson Alexandre da Silva Quinto, Armando José de Sá Santos, Beatriz Sampaio Quinto, Alan Marcel Fernandes de Souza

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Wanzeler Neto, A. ., de Souza Conte, T. N. M. ., dos Santos, W. J. C., da Silva Quinto, W. A. ., de Sá Santos, A. J. ., Quinto, B. S., & de Souza, A. M. F. . (2025). DEVELOPMENT OF NEUROMORPHIC ARTIFICIAL INTELLIGENCE FOR PHYSIOTHERAPEUTIC POSTURAL ASSESSMENT INTEGRATED WITH OPENCV. Seven Editora, 67-88. https://sevenpubl.com.br/editora/article/view/7727