Algoritmo que automatice y optimice el proceso de cálculo para el diseño y modelado personalizado de una ortesis de rodilla, tobillo y pie

Abstract

Knee, ankle, and foot orthoses are devices that aid in the rehabilitation of spinal cord injuries and orthopedic pathologies, making precise and personalized device design crucial to meet patient needs. This article discusses the design of an application that generates a technical datasheet prior to the manufacturing of a KAFO, developed in Python. The application records and manages patient data, which is stored in a relational database, and a graphical user interface was created using Qt Designer and PyQT5 to facilitate the input of personal and orthopedic data. DALL-E was chosen to generate digital images based on patient characteristics, and an OpenAI API was used to study prompts and find the best descriptions for optimal results. Functionality evaluations of the application were conducted through data manipulation, error testing, and comparisons of digital image designs with other graphic generation tools. Finally, all relevant information, including personal data, orthopedic conditions, anatomical measurements, and calculations necessary for orthosis design, was integrated into a technical datasheet.