dc.contributorCastañeda Vargas, Pedro Segundo
dc.creatorDe la Cruz Quincho, Gian Pieers
dc.creatorJavier Taipe, Kevin
dc.date.accessioned2023-11-09T14:41:03Z
dc.date.accessioned2024-05-09T17:07:08Z
dc.date.available2023-11-09T14:41:03Z
dc.date.available2024-05-09T17:07:08Z
dc.date.created2023-11-09T14:41:03Z
dc.date.issued2023
dc.identifierDe la Cruz, G., Javier, K. (2022). Patients rehabilitation with musculoskeletal sequel from covid-19 using vision artificial in the city of Huancayo. Tesis para optar el título profesional de Ingeniera de Sistemas e Informática, Escuela Académico Profesional de Ingeniería de Sistemas e Informática, Universidad Continental, Huancayo, Perú.
dc.identifierhttps://hdl.handle.net/20.500.12394/13470
dc.identifierInstitute of Electrical and Electronics Engineers, IEEE
dc.identifierhttps://doi.org/10.1109/CTISC54888.2022.9849767
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9389114
dc.description.abstractTechnology 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.
dc.languageeng
dc.publisherUniversidad Continental
dc.publisherPE
dc.relationhttps://ieeexplore.ieee.org/document/9849767
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rightsAcceso abierto
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceUniversidad Continental
dc.sourceRepositorio Institucional - Continental
dc.subjectMedicina física y rehabilitación
dc.subjectServicios web
dc.subjectInteligencia artificial
dc.titlePatients rehabilitation with musculoskeletal sequel from covid-19 using vision artificial in the city of Huancayo
dc.typeinfo:eu-repo/semantics/bachelorThesis


Este ítem pertenece a la siguiente institución