Study for Diagnosing Knee Osteoarthritis (OA) using Motor Imagery and Deep Neural Networks

Osmar Ferreira Gomes; Oberdan Rocha Pinheiro*; Alex Alu00edsson Bandeira Santos

doi:10.37871/jbres1938

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Study for Diagnosing Knee Osteoarthritis (OA) using Motor Imagery and Deep Neural Networks

Journal of Biomedical Research & Environmental Sciences article abstract with citation details, DOI, publication dates, subject areas, full text links, and references.

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Article Type Mini Review

Subject Medicine Group

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Osmar Ferreira Gomes, Oberdan Rocha Pinheiro* and Alex Alu00edsson Bandeira Santos

Issue: Volume5-Issue6

Pages: 649-652

Received: 2024-06-08

Accepted: 2024-06-22

Published: 2024-06-24

Abstract

Knee osteoarthritis, also known as osteoarthritis of the knee, is a degenerative condition of the knee joints. It occurs when the cartilage covering the joint surfaces of the knee progressively wears away, resulting in pain, swelling, stiffness and loss of function in the affected knee. Cartilage is a smooth, tough tissue that acts as a shock absorber between bones and allows joints to glide smoothly during movement. Over time, due to aging, overuse, or previous injuries, the cartilage can wear away, which can lead to the development of knee osteoarthritis. Closing the diagnosis of knee Osteoarthritis (OA) is a time-consuming task due to the fact that several different illnesses have very similar signs and symptoms. This research is an attempt to reach a rapid diagnosis of knee OA based on motor imagery through patterns developed in EEG analysis using deep learning.

FullText HTML FullText PDF DOI: 10.37871/jbres1938

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How to cite this article

Gomes OF, Pinheiro OR, Bandeira Santos AA. Study for Diagnosing Knee Osteoarthritis (OA) using Motor Imagery and Deep Neural Networks. J Biomed Res Environ Sci. 2024 Jun 24; 5(6): 649-652. doi: 10.37871/jbres1938, Article ID: JBRES1938, Available at: https://www.jelsciences.com/articles/jbres1938.pdf

Subject area(s)

Orthopedics

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