2026-04-17T18:51:46Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75362023-04-18T10:42:52Zcom_10259_4141com_10259_5086com_10259_2604com_10259_4219com_10259_4996com_10259_3989com_10259.4_106com_10259_5377com_10259_6688col_10259_4142col_10259_4220col_10259_6689col_10259_4999col_10259_5378
Repositorio Institucional de la Universidad de Burgos
author
Ramírez Sanz, José Miguel
author
Garrido Labrador, José Luis
author
Olivares Gil, Alicia
author
García Bustillo, Álvaro
author
Arnaiz González, Álvar
author
Diez Pastor, José Francisco
author
Jahouh, Maha
author
González Santos, Josefa
author
González Bernal, Jerónimo
author
Allende-Río, Marta
author
Valiñas Sieiro, Florita
author
Trejo Gabriel y Galán, José Mª
author
Cubo Delgado, Esther
2023-03-13T12:15:33Z
2023-03-13T12:15:33Z
2023-02
http://hdl.handle.net/10259/7536
10.3390/healthcare11040507
2227-9032
The consolidation of telerehabilitation for the treatment of many diseases over the last
decades is a consequence of its cost-effective results and its ability to offer access to rehabilitation in
remote areas. Telerehabilitation operates over a distance, so vulnerable patients are never exposed to
unnecessary risks. Despite its low cost, the need for a professional to assess therapeutic exercises
and proper corporal movements online should also be mentioned. The focus of this paper is on
a telerehabilitation system for patients suffering from Parkinson’s disease in remote villages and
other less accessible locations. A full-stack is presented using big data frameworks that facilitate
communication between the patient and the occupational therapist, the recording of each session,
and real-time skeleton identification using artificial intelligence techniques. Big data technologies are
used to process the numerous videos that are generated during the course of treating simultaneous
patients. Moreover, the skeleton of each patient can be estimated using deep neural networks for
automated evaluation of corporal exercises, which is of immense help to the therapists in charge of
the treatment programs.
eng
Atribución 4.0 Internacional
Parkinson’s disease
Telerehabilitation
Telemedicine
Big data
Artificial intelligence in healthcare
A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/7536/1/Ramirez-healthcare_2023.pdf
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application/pdf
Ramirez-healthcare_2023.pdf