The assessment of the condition of knee joint surfaces with acoustic emission analysis

Bartłomiej Sawaryn; Natalia Piaseczna; Szymon Sieciński; Rafał Doniec; Konrad Duraj; Dariusz Komorowski; Ewaryst J. Tkacz

doi:10.3390/s21196495

The assessment of the condition of knee joint surfaces with acoustic emission analysis

Bartłomiej Sawaryn^*, Natalia Piaseczna, Szymon Sieciński, Rafał Doniec^*, Konrad Duraj, Dariusz Komorowski, Ewaryst J. Tkacz

^*Corresponding author for this work

Institute of Medical Informatics

Silesian University of Technology

6 Citations (Scopus)

Abstract

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.

Original language	English
Article number	6495
Journal	Sensors
Volume	21
Issue number	19
ISSN	1424-8220
DOIs	https://doi.org/10.3390/s21196495
Publication status	Published - 01.10.2021

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abstract = "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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AU - Sawaryn, Bartłomiej

AU - Piaseczna, Natalia

AU - Sieciński, Szymon

AU - Doniec, Rafał

AU - Duraj, Konrad

AU - Komorowski, Dariusz

AU - Tkacz, Ewaryst J.

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N2 - 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.

AB - 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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JF - Sensors

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The assessment of the condition of knee joint surfaces with acoustic emission analysis

Abstract

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