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Título
Smart splint for diagnosis during initial stage of treatment
Autor(es)
Materia
Smart Splint
3D printing
Sensors
Treatment evolution
Clasificación UNESCO
2410.02 Anatomía Humana
Fecha de publicación
2020
Editor
Association for Computing Machinery
Citación
José M. de Agustín del Burgo, Fernando Blaya Haro, Roberto D’Amato† , and Juan Antonio Juanes Méndez. 2020. Smart splint for diagnosis during initial stage of treatment. In Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’20), October 21–23, 2020, Salamanca, Spain. ACM, New York, NY, USA, 9 pages. https://doi.org/10. 1145/3434780.3436610
Resumen
[EN]Nowadays, after suffering certain musculoskeletal rupture injuries,
the only treatment available is the use of plaster cast. However,
this type of treatment, that is similar to the used originally by
the Persians in the 10th century, has some disadvantages, that
are still present nowadays. It usually causes discomfort due to
the weight (around 1,5kg) and the restrictions to refresh the skin.
Moreover, it is not submersible and it is not possible to apply certain
kind of treatments, like ultrasounds or infrared. It also may appear
complications at the vascular, muscular or even articular level due
to these problems.This project aims to show there is a really possible
option that would solve these inconvenient. Moreover, it would
allow a faster and better recovery, combining 3D prototyping, 3D
scanning, medicine, engineering and materials evolution. This study
proposes the use of sensor integration inside the splints to detect
any kind of problem during the treatment process. These sensors get
different data like pressure, color, humidity and temperature from
the splint. After that, these parameters are analyzed to determine
any unexpected evolution and sent by telematic channels to be
consulted remotely by a specialist.
URI
ISBN
9781450388504
DOI
10. 1145/3434780.3436610
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