CONCEPT AND VALIDATION OF A SYSTEM FOR RECORDING VIBROACOUSTIC SIGNALS OF THE KNEE JOINT
Robert Karpiński
r.karpinski@pollub.plLublin University of Technology, Department of Machine Design and Mechatronics (Poland)
https://orcid.org/0000-0003-4063-8503
Anna Machrowska
Lublin University of Technology, Department of Machine Design and Mechatronics (Poland)
Marcin Maciejewski
Lublin University of Technology, Department of Electronics and Information Technology (Poland)
https://orcid.org/0000-0001-9116-5481
Józef Jonak
Lublin University of Technology, Department of Machine Design and Mechatronics (Poland)
Przemysław Krakowski
1Medical University of Lublin, Department of Trauma Surgery and Emergency Medicine, 2Carolina Medical Center, Orthopaedic and Sports Traumatology Department (Poland)
Abstract
Cartilage degeneration is a serious health condition in modern society, leading to problems in mobility and significant reduction in the quality of life of patients of all ages. It is mainly caused by obesity, workload, sports or trauma to the joint. Proper diagnosis is crucial to implement appropriate treatment to stop the further degeneration of the tissue. Usually the assessment is performed by using magnetic resonance. This paper describes the design and application of an alternative measurement system for vibroartography of the knee joint. The use of such device allows for fast, safe, easy and cheap assessment of joint condition, which in turn can lead to proper treatment planning. Similar portable systems can be rapidly deployed and used by entry level medical staff in hospitals, clinics or at patient’s home. The system consists of an orthosis, set of three vibroacoustic sensors, encoder for reading knee position, microcontroller with galvanic barrier and battery power and a computer for data storage and processing. The system is light, simple and portable. Data is recorded in both closed and open kinematic chains. Results show over 90% diagnostic accuracy based on the data obtained in the process of testing this device. In the future, the system will be further miniaturized and completely placed on the orthosis, leading to more portability and diagnostic merit.
Keywords:
vibroarthtography, knee, osteoarthritis, articular cartilage, sensors, acoustic signalsReferences
ADUM4160 Datasheet and Product Info | Analog Devices [https://www.analog.com/en/products/adum4160.html].
Google Scholar
Andersen R.E., Arendt-Nielsen L., Madeleine P.: Knee joint vibroarthrography of asymptomatic subjects during loaded flexion-extension movements. Med Biol Eng Comput. 56(12), 2018, 2301–2312.
Google Scholar
Blodgett W.E.: Auscultation of the Knee Joint. The Boston Medical and Surgical Journal. 146(3), 1902, 63–66.
Google Scholar
Cameron K. et al.: Incidence of Physician-Diagnosed Osteoarthritis Among Active Duty United States Military Service Members. Arthritis & Rheumatology 63(10), 2011, 2974–2982.
Google Scholar
Castagnini F. et al.: Total Knee Replacement in Young Patients: Survival and Causes of Revision in a Registry Population. The Journal of Arthroplasty 32(11), 2017, 3368–3372.
Google Scholar
Cibere J. et al.: Natural history of cartilage damage and osteoarthritis progression on magnetic resonance imaging in a population-based cohort with knee pain. Osteoarthritis and Cartilage 19(6), 2011, 683–688.
Google Scholar
Contact microphone CM-01B, Technical Data Sheet. 2015.
Google Scholar
Falkowicz K., Kulisz M.: Prediction of Buckling Behaviour of Composite Plate Element Using Artificial Neural Networks. Adv Sci Technol Res J. 18(1), 2024, 231–243.
Google Scholar
Goldring M.B.: Update on the biology of the chondrocyte and new approaches to treating cartilage diseases. Best Practice & Research Clinical Rheumatology 20(5), 2006,1003–1025.
Google Scholar
Jonak J. et al.: A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints. IOP Conf Ser: Mater Sci Eng. 710(1), 2019, 012037.
Google Scholar
Karpiński R. et al.: Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN – Part I: Femoral-Tibial Joint. Sensors 22(6), 2022, 2176.
Google Scholar
Karpiński R. et al.: Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN – Part II: Patellofemoral Joint. Sensors 22(10), 2022, 3765.
Google Scholar
Karpiński R. et al.: Comparison of selected classification methods based on machine learning as a diagnostic tool for knee joint cartilage damage based on generated vibroacoustic processes. Appl Comput Sci. 19(4), 2023, 136–150.
Google Scholar
Karpiński R., Machrowska A., Maciejewski M.: Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint. Applied Computer Science 15(1), 2019, 36–48.
Google Scholar
Karpiński R. et al.: Evaluation of the Effect of Selected Physiological Fluid Contaminants on the Mechanical Properties of Selected Medium-Viscosity PMMA Bone Cements. Materials 15(6), 2022, 2197.
Google Scholar
Karpiński R.: Knee joint osteoarthritis diagnosis based on selected acoustic signal discriminants using machine learning. Applied Computer Science 18(2), 2022, 71–85.
Google Scholar
Kellgren J.H., Lawrence J.S.: Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 16(4), 1957, 494–502.
Google Scholar
Kim K. S., Seo J. H., Song C. G.: An Acoustical Evaluation of Knee Sound for Non-invasive Screening and Early Detection of Articular Pathology. J Med Syst. 36(2), 2012, 715–722.
Google Scholar
Kiselev J. et al.: Detection of osteoarthritis using acoustic emission analysis. Medical Engineering & Physics 65, 2019, 57–60.
Google Scholar
Krakowski P. et al.: Knee MRI Underestimates the Grade of Cartilage Lesions. Applied Sciences 11(4), 2021, 1552.
Google Scholar
Krakowski P. et al.: Evaluation of diagnostic accuracy of physical examination and MRI for ligament and meniscus injuries. J Phys: Conf Ser. 1736, 2021, 012027.
Google Scholar
Krakowski P. et al.: Short-Term Effects of Arthroscopic Microfracturation of Knee Chondral Defects in Osteoarthritis. Applied Sciences 10(23), 2020, 8312.
Google Scholar
Krakowski P. et al.: Evaluation of the diagnostic accuracy of MRI in detection of knee cartilage lesions using Receiver Operating Characteristic curves. J Phys: Conf Ser. 1736, 2021, 012028.
Google Scholar
Krakowski P. et al.: Comparison of Diagnostic Accuracy of Physical Examination and MRI in the Most Common Knee Injuries. Applied Sciences 9(19), 2019, 4102.
Google Scholar
Kręcisz K., Bączkowicz D.: Analysis and multiclass classification of pathological knee joints using vibroarthrographic signals. Computer Methods and Programs in Biomedicine 154, 2018, 37–44.
Google Scholar
Long H. et al.: Prevalence Trends of Site‐Specific Osteoarthritis From 1990 to 2019: Findings From the Global Burden of Disease Study 2019. Arthritis & Rheumatology 74(7), 2022, 1172–1183.
Google Scholar
Machrowska A. et al: Numerical prediction of the component-ratio-dependent compressive strength of bone cement. Applied Computer Science 16(3), 2020, 87–101.
Google Scholar
Machrowska A. et al.: Diagnostic factors for opened and closed kinematic chain of vibroarthrography signals. Applied Computer Science 15(3), 2019, 34–44.
Google Scholar
Machrowska A. et al.: Use of Deep Learning Networks and Statistical Modeling to Predict Changes in Mechanical Parameters of Contaminated Bone Cements. Materials 13(23), 2020, 5419.
Google Scholar
Nevalainen M. T. et al.: Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings. Sci Rep. 11(1), 2021, 19558.
Google Scholar
Prior J. et al.: Analysis of high frequency acoustic emission signals as a new approach for assessing knee osteoarthritis. Annals of the Rheumatic Diseases 69(5), 2010, 929–930.
Google Scholar
Quicke J. G. et al.: Osteoarthritis year in review 2021: epidemiology & therapy. Osteoarthritis and Cartilage 30(2), 2022, 196–206.
Google Scholar
Reyes C. et al.: Socio-economic status and the risk of developing hand, hip or knee osteoarthritis: a region-wide ecological study. Osteoarthritis and Cartilage 23(8), 2015, 1323–1329.
Google Scholar
Roberts V. I., Esler C. N. A., Harper W. M.: A 15-year follow-up study of 4606 primary total knee replacements. Journal of Bone and Joint Surgery – British Volume 89-B(11), 2007, 1452–1456.
Google Scholar
Roemer F. et al.: Increased risk for radiographic osteoarthritis features in young active athletes: a cross-sectional matched case–control study. Osteoarthritis and Cartilage 23(2), 2015, 239–243.
Google Scholar
Schouten J. et al.: An update on the relationship between occupational factors and osteoarthritis of the hip and knee. Current Opinion in Rheumatology 14(2), 2002, 89–92.
Google Scholar
Semiz B. et al.: Using Knee Acoustical Emissions for Sensing Joint Health in Patients With Juvenile Idiopathic Arthritis: A Pilot Study. IEEE Sensors J. 18(22), 2018, 9128–9136.
Google Scholar
Solivetti F. M. et al.: Appropriateness of knee MRI prescriptions: clinical, economic and technical issues. La radiologia medica 121(4), 2016, 315–322.
Google Scholar
Szabelski J. et al.: Analysis of the Effect of Component Ratio Imbalances on Selected Mechanical Properties of Seasoned, Medium Viscosity Bone Cements. Materials 15(16), 2022, 5577.
Google Scholar
Van den Borne M. P. J. et al.: International Cartilage Repair Society (ICRS and Oswestry macroscopic cartilage evaluation scores validated for use in Autologous Chondrocyte Implantation (ACI) and microfracture. Osteoarthritis and Cartilage 15(12), 2007, 1397–1402.
Google Scholar
Zegarowa orteza stawu kolanowego BREG – komfort i stabilizacja (T-scope Knee) – Sklep Orteo.pl [https://www.orteo.pl/zegarowa-orteza-stawu-kolanowego-breg-komfort-i-stabilizacja-t-scope-knee] (cited 2023 Jul 8).
Google Scholar
Authors
Robert Karpińskir.karpinski@pollub.pl
Lublin University of Technology, Department of Machine Design and Mechatronics Poland
https://orcid.org/0000-0003-4063-8503
Authors
Anna MachrowskaLublin University of Technology, Department of Machine Design and Mechatronics Poland
Authors
Marcin MaciejewskiLublin University of Technology, Department of Electronics and Information Technology Poland
https://orcid.org/0000-0001-9116-5481
Authors
Józef JonakLublin University of Technology, Department of Machine Design and Mechatronics Poland
Authors
Przemysław Krakowski1Medical University of Lublin, Department of Trauma Surgery and Emergency Medicine, 2Carolina Medical Center, Orthopaedic and Sports Traumatology Department Poland
Statistics
Abstract views: 157PDF downloads: 112
Most read articles by the same author(s)
- Marcin Maciejewski, Wojciech Surtel, Krzysztof Nowak, ANALYSIS OF ALL-PASS FILTERS APPLICATION TO ELIMINATE NEGATIVE EFFECTS OF LOUDNESS WAR TREND , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 10 No. 2 (2020)
- Wojciech Surtel, Marcin Maciejewski, Rafał Różalski, ARCHITECTURE OF A SERVER APPLICATION FOR USE IN ENVIRONMENTAL PATIENT MONITORING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 3 No. 4 (2013)
- Marcin Maciejewski, INFORMATION TECHNOLOGY IMPLEMENTATIONS AND LIMITATIONS IN MEDICAL RESEARCH , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 5 No. 1 (2015)
- Marcin Maciejewski, POLYNOMIAL APPROXIMATION FOR T WAVE PARAMETER RECOGNITION IN ECG PROCESSING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 4 (2017)
- Wojciech Surtel, Marcin Maciejewski, Michał Cieślar, A MODEL OF A MOBILE ANDROID APPLICATION FOR ENVIRONMENTAL PATIENT MONITORING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 3 No. 4 (2013)