Patients rehabilitation with musculoskeletal sequel from covid-19 using vision artificial in the city of Huancayo

• Autores: De la Cruz Quincho, Gian Pieers, Javier Taipe, Kevin
• Formato: tesis de grado
• Fecha de Publicación: 2023
• Institución: Universidad Continental
• Repositorio: CONTINENTAL-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.continental.edu.pe:20.500.12394/13470
• Enlace del recurso: https://hdl.handle.net/20.500.12394/13470; https://doi.org/10.1109/CTISC54888.2022.9849767
• Nivel de acceso: acceso abierto
• Materia: Medicina física y rehabilitación; Servicios web; Inteligencia artificial; https://purl.org/pe-repo/ocde/ford#2.02.04

Technology and its applications are here to improve our lives, it is used ever more these days with the pandemic Covid-19. This article is aimed to reduce the attendance to Hospitals and clinics where you would be treated with musculoskeletal muscular treatments in the city of Huancayo. With the help of modern technology it is offered an alternative software with artificial vision in order to monitor most patients in real time. The development of this investigation is set in 5 stages, the first stage talks about a posture recognition with artificial vision with framework mediapipe. The second stage explains the design interface and the mathematics formula which controls a patient development, the third stage describes the integration from the first and the second stage with a treat method. The fourth stage describes de development of a webpage using services to develop and monitor in real time. The last stage describes the process of the software validation having the last usuary with a chart of questions. Finally, the results of validations show the patient acceptation, as so 63.6% of patients who had no difficulties doing the software exercises. As Such a monitoring from the initial stage from the patien is hey factor before starting the therapy.