Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence

A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders....

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Detalles Bibliográficos
Autores principales: Siddiqui, Hafeez Ur Rehman, Saleem, Adil Ali, Raza, Muhammad Amjad, Villar, Santos Gracia, Lopez, Luis Alonso Dzul, Diez, Isabel de la Torre, Rustam, Furqan, Dudley, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530167/
https://www.ncbi.nlm.nih.gov/pubmed/37761248
http://dx.doi.org/10.3390/diagnostics13182881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530167/
https://www.ncbi.nlm.nih.gov/pubmed/37761248
http://dx.doi.org/10.3390/diagnostics13182881

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