A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints

Jonak, Józef; Karpiński, Robert; Machrowska, Anna; Krakowski, Przemysław; Maciejewski, Marcin

doi:10.1088/1757-899x/710/1/012037

Cited by 8 publications

(10 citation statements)

References 19 publications

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“…The number of signal indices (parameters) used in vibroacoustic diagnostics is very large. The selection of the signal measures used in this paper was based on a literature analysis [ 90 , 91 , 92 , 93 , 94 ] and the previous experience of the authors presented in papers [ 51 , 52 , 95 ].…”

Section: Methodsmentioning

confidence: 99%

Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint

Karpiński

Krakowski

Jonak

et al. 2022

Sensors

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Cartilage loss due to osteoarthritis (OA) in the patellofemoral joint provokes pain, stiffness, and restriction of joint motion, which strongly reduces quality of life. Early diagnosis is essential for prolonging painless joint function. Vibroarthrography (VAG) has been proposed in the literature as a safe, noninvasive, and reproducible tool for cartilage evaluation. Until now, however, there have been no strict protocols for VAG acquisition especially in regard to differences between the patellofemoral and tibiofemoral joints. The purpose of this study was to evaluate the proposed examination and acquisition protocol for the patellofemoral joint, as well as to determine the optimal examination protocol to obtain the best diagnostic results. Thirty-four patients scheduled for knee surgery due to cartilage lesions were enrolled in the study and compared with 33 healthy individuals in the control group. VAG acquisition was performed prior to surgery, and cartilage status was evaluated during the surgery as a reference point. Both closed (CKC) and open (OKC) kinetic chains were assessed during VAG. The selection of the optimal signal measures was performed using a neighborhood component analysis (NCA) algorithm. The classification was performed using multilayer perceptron (MLP) and radial basis function (RBF) neural networks. The classification using artificial neural networks was performed for three variants: I. open kinetic chain, II. closed kinetic chain, and III. open and closed kinetic chain. The highest diagnostic accuracy was obtained for variants I and II for the RBF 9-35-2 and MLP 10-16-2 networks, respectively, achieving a classification accuracy of 98.53, a sensitivity of 0.958, and a specificity of 1. For variant III, a diagnostic accuracy of 97.79 was obtained with a sensitivity and specificity of 0.978 for MLP 8-3-2. This indicates a possible simplification of the examination protocol to single kinetic chain analyses.

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Section: Methodsmentioning

confidence: 99%

Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint

Karpiński

Krakowski

Jonak

et al. 2022

Sensors

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“…The advantage of this model to other tools is that it is easy-to-use, inexpensive, and needs no advanced high-tech instrument. Jonak et al used EEMD-RQA algorithms to study arthrokinematic movements and also used vibration signals to measure the quality of motion [29]. In this model, the internal level of joints can be examined without invasive intervention.…”

Section: Tools Measuring Qualitative Knee Arthrokinematicmentioning

confidence: 99%

“…Fluoroscopy measurement accuracy has been reported to be 0.4 mm, which is lower than static methods; however, the accuracy of the VICON 3D motion system tool has not been reported, and future studies need to focus more on the measurement accuracy of these tools. Arthrokinematics were also studied using accelerator sensors [28,29]. The advantage of these methods over previous studies is that they are simple and exploit inexpensive tools and evaluate the speed, acceleration, and quality of arthrokinematic movements.…”

Section: Tools Measuring Qualitative Knee Arthrokinematicmentioning

confidence: 99%

Assessment Methods of Knee Joint Arthrokinematics: A Review of Literature

Norasteh

Zarei

2021

J. Res. Orthop. Sci.

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Context: The present study provides an analysis of methods in assessment and measurement of knee arthrokinematic movements. Evidence Acquisition: in this study, an exhaustive review of the methods for assessment of knee joint arthrokinematics is provided. For this, some known databases including Science Direct, PubMed, EMBASE, CINAHL, and Google Scholar, for the period 1985 to February 2020 are explored. Results: After the assessment steps, 14 articles were chosen based on the criteria and objectives of the research; 13 articles in entirety and one as a summary. Through a review of the studies, it was observed that various methods were used in assessment and measurement of the knee joint arthrokinematic movements. In the beginning, focus was on transitional motion in which knee arthrokinematic movements were studied in static state; but with time, knee transitional movement was studied in dynamic state as well. More recent studies scrutinized three main types of arthrokinematics: motion rolling, gliding and spinning. There were also studies that tried to implement tools which required minimum cost and scrutinized the knee arthrokinematic movements without complicated state-of-the-art equipment. All the said equipment were designed with the aim of diagnosis of how the arthrokinematic movements of an injured knee compared to a healthy one. Conclusion: Results of our analysis show that the literature is rich with a variety of instruments for measuring knee arthrokinematic movements. By classifying the instruments, it was found that studies of four different measurement methods including static, dynamic, functional and qualitative have examined the arthrokinematic movements of the knee.

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“…Although cartilage injuries are associated with an older population, they do not spare younger people. The causes of these changes include sports, work, genetics, musculoskeletal trauma, obesity, and even gender [7][8][9][10]. Advanced degenerative changes cause the progressive failure of the joint with the appearance of pain, reduced range of motion and stiffness.…”

Section: Introductionmentioning

confidence: 99%

Estimation of differences in selected indices of vibroacoustic signals between healthy and osteoarthritic patellofemoral joints as a potential non-invasive diagnostic tool

Karpiński

Krakowski

Jonak

et al. 2021

J. Phys.: Conf. Ser.

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Osteoarthritis (OA) is currently the most generic form of joint disease. It is a complex process in which degenerative changes occur in the articular cartilage [AC], subchondral bone, and synovial membrane and can lead to permanent joint failure. The primary and most commonly used method of diagnosing degenerative changes is classic radiography. Magnetic resonance imaging (MRI) may be used to assess the extent of damage to joint surfaces, but this method is limited by the availability of specialised equipment and the excessive cost of the examination. Arthroscopy, an invasive procedure, is considered the “gold standard” in joint diagnosis. The occurrence of degenerative changes is closely related to the friction and lubrication processes within the joint. The main causes of osteoarthritis are a change or lack of synovial fluid, deformation of the joint bones, local damage to the articular cartilage, and a change in the mechanical properties of the articular cartilage due to water loss from the damaged superficial layer. An alternative, non-invasive method that allows for a delicate assessment of the condition of moving joints is vibroarthrography (VAG). The analysis of vibroacoustic signals generated by moving joint surfaces has an immense potential in the non-invasive assessment of the degree of damage to articular cartilage, meniscus and ligaments and the general diagnosis of degenerative diseases. The purpose of this study is to analyse and statistically compare the basic characteristics of vibroacoustic signals recorded with a CM-01B contact microphone placed on the patella for motion in the 90°–0°–90° range in a closed kinetic chain (CKC) in a control group (HC) and a group of patients diagnosed with osteoarthritis (OA), qualified for the knee alloplasty.

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A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints

Cited by 8 publications

References 19 publications

Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint

Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint

Assessment Methods of Knee Joint Arthrokinematics: A Review of Literature

Estimation of differences in selected indices of vibroacoustic signals between healthy and osteoarthritic patellofemoral joints as a potential non-invasive diagnostic tool

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