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The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis

The knee joint, being the largest joint in the human body, is responsible for a great percentage of leg movements. The diagnosis of the state of knee joints is usually based on X-ray scan, ultrasound imaging, computerized tomography (CT), magnetic resonance imaging (MRI), or arthroscopy. In this stu...

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Autores principales: Sawaryn, Bartłomiej, Piaseczna, Natalia, Sieciński, Szymon, Doniec, Rafał, Duraj, Konrad, Komorowski, Dariusz, Tkacz, Ewaryst J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512756/
https://www.ncbi.nlm.nih.gov/pubmed/34640815
http://dx.doi.org/10.3390/s21196495
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author Sawaryn, Bartłomiej
Piaseczna, Natalia
Sieciński, Szymon
Doniec, Rafał
Duraj, Konrad
Komorowski, Dariusz
Tkacz, Ewaryst J.
author_facet Sawaryn, Bartłomiej
Piaseczna, Natalia
Sieciński, Szymon
Doniec, Rafał
Duraj, Konrad
Komorowski, Dariusz
Tkacz, Ewaryst J.
author_sort Sawaryn, Bartłomiej
collection PubMed
description The knee joint, being the largest joint in the human body, is responsible for a great percentage of leg movements. The diagnosis of the state of knee joints is usually based on X-ray scan, ultrasound imaging, computerized tomography (CT), magnetic resonance imaging (MRI), or arthroscopy. In this study, we aimed to create an inexpensive, portable device for recording the sound produced by the knee joint, and a dedicated application for its analysis. During the study, we examined fourteen volunteers of different ages, including those who had a knee injury. The device effectively enables the recording of the sounds produced by the knee joint, and the spectral analysis used in the application proved its reliability in evaluating the knee joint condition.
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spelling pubmed-85127562021-10-14 The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis Sawaryn, Bartłomiej Piaseczna, Natalia Sieciński, Szymon Doniec, Rafał Duraj, Konrad Komorowski, Dariusz Tkacz, Ewaryst J. Sensors (Basel) Article The knee joint, being the largest joint in the human body, is responsible for a great percentage of leg movements. The diagnosis of the state of knee joints is usually based on X-ray scan, ultrasound imaging, computerized tomography (CT), magnetic resonance imaging (MRI), or arthroscopy. In this study, we aimed to create an inexpensive, portable device for recording the sound produced by the knee joint, and a dedicated application for its analysis. During the study, we examined fourteen volunteers of different ages, including those who had a knee injury. The device effectively enables the recording of the sounds produced by the knee joint, and the spectral analysis used in the application proved its reliability in evaluating the knee joint condition. MDPI 2021-09-29 /pmc/articles/PMC8512756/ /pubmed/34640815 http://dx.doi.org/10.3390/s21196495 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sawaryn, Bartłomiej
Piaseczna, Natalia
Sieciński, Szymon
Doniec, Rafał
Duraj, Konrad
Komorowski, Dariusz
Tkacz, Ewaryst J.
The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title_full The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title_fullStr The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title_full_unstemmed The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title_short The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis
title_sort assessment of the condition of knee joint surfaces with acoustic emission analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512756/
https://www.ncbi.nlm.nih.gov/pubmed/34640815
http://dx.doi.org/10.3390/s21196495
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