Osmar Ferreira Gomes, Oberdan Rocha Pinheiro* and Alex Alu00edsson Bandeira Santos
Volume5-Issue6
Dates: Received: 2024-06-08 | Accepted: 2024-06-22 | Published: 2024-06-24
Pages: 649-652
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.
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DOI: 10.37871/jbres1938
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Copyright
© 2024 Gomes OF, et al. Distributed under Creative Commons CC-BY 4.0 
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
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References
- Sociedade brasileira de reumatologia. 2023.
- Pinheiro ES, de Queirós FC, Montoya P, Santos CL, do Nascimento MA, Ito CH, Silva M, Nunes Santos DB, Benevides S, Miranda JG, Sá KN, Baptista AF. Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature. PLoS One. 2016 Feb 25;11(2):e0149085. doi: 10.1371/journal.pone.0149085. PMID: 26914356; PMCID: PMC4767709.
- Luft C, Andrade A. Research with EEG applied to the area of motor learning. Portuguese Journal of Sports Science. 2006;6(1):106-115.
- Silva, Rubianes JAI. Co-localization of electrophysiological signals and anatomical MRI signals. 2016.
- Michael FU, Daly JJ, Cavusoglu MC. Assessment of EEG event-related desynchronization in stroke survivors performing shoulder-elbow movements. IEEE Xplore. 2006. doi: 10.1109/ROBOT.2006.1642182.
- Jain Rk, Sharma PK, Gaj S, Sur A, Ghosh P. Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network. Multimedia Tools and Applications. 2023;83(3):6925-6942. doi: 10.1007/s11042-023-15484.
- Yeoh PSQ, Lai KW, Goh SL, Hasikin K, Hum YC, Tee YK, Dhanalakshmi S. Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. Comput Intell Neurosci. 2021 Nov 10;2021:4931437. doi: 10.1155/2021/4931437. PMID: 34804143; PMCID: PMC8598325.
- Eckstein F, Wirth W, Culvenor AG. Osteoarthritis year in review 2020: imaging. Osteoarthritis Cartilage. 2021 Feb;29(2):170-179. doi: 10.1016/j.joca.2020.12.019. Epub 2021 Jan 5. PMID: 33418028.
