Título: | STUDY, PROJECT AND CONSTRUCTION OF A LOWER LIMB ORTHOSIS | ||||||||||||
Autor(es): |
EDUARDA CARLOS DE SANTIS NILTON MONTEIRO ALVES |
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Colaborador(es): |
WILLIAM DE SOUZA BARBOSA - Orientador |
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Catalogação: | 05/JUL/2024 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | SENIOR PROJECT | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=67212@1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=67212@2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.67212 | ||||||||||||
Resumo: | |||||||||||||
Technological advances, driven by scientific knowledge and engineering fields, have significantly contributed to enhancing people’s quality of life. In the healthcare sector, there is a constant increase in
innovations aimed at improving individuals’ comfort and health. Among these advances, the development
of lower limb orthoses plays a crucial role by providing support for those seeking assistance with better
mobility.
This work fits within the multidisciplinary panorama of biomedicine, neural networks, robotics, and signal
control, with the main objective of developing a bio-actuated lower limb orthosis. The muscle signal
acquisition and control were developed using electromyographic (EMG) signals, which can be defined as
a technique for detecting electrical signals obtained from muscle contractions.
A study and simulation of electromyographic signals were conducted using an EMG sensor, which demonstrated the interaction of muscle movements in a user’s leg. The captured signals were used as a trigger
to represent the muscle’s intention to move, and through a potentiometer placed on the second leg, it was
possible to detect its position to replicate the same movement. For this purpose, a mechanical orthosis
was designed and printed on a 3D printer, to which the sensors were attached, transforming it into a
bio-actuated mechanical orthosis. The project aims to perform a contralateral leg movement based on the
position of the second leg, activated by muscle stimulus.
The project proposes to assist the mobility of patients with motor disabilities, offering a solution that
improves these users quality of life.
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