Hip implant performance prediction by acoustic emission techniques: a review

Remya, A R; Vishwash, B.; Lee, Christine; Pai, P. Srinivasa; Oras, Alejandro A. Espinoza; Ozevin, Didem; Mathew, Mathew T.

doi:10.1007/s11517-020-02202-z

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…joint wear and friction) and [20] on the evaluation of hip replacement constructs. The latest review [89] in the field of hip implant performance prediction by acoustic techniques covered this relatively narrow topic.…”

Section: E Reviewsmentioning

confidence: 99%

Assessment of Hip and Knee Joints and Implants Using Acoustic Emission Monitoring: A Scoping Review

et al. 2021

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Section: E Reviewsmentioning

confidence: 99%

Assessment of Hip and Knee Joints and Implants Using Acoustic Emission Monitoring: A Scoping Review

et al. 2021

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“…Contrasting the AE sensing approach to clinical joint diagnosis techniques, it is a passive technique that poses minimal risk of infection and radiation and is affordable, as well as being a non-invasive means towards the acquisition of rich signal information that can be utilised towards the diagnosis and assessment of joint health [14]. AE has predominantly seen traditional use in condition monitoring and maintenance of machinery components, in addition to process monitoring, but recent scientific advancements have seen applications of the technique in areas such as biomechanics and orthopaedics, as mentioned [10][11][12][13][14].…”

Section: Means Of Diagnosing Joint Pathologies Their Shortcomings and Aementioning

confidence: 99%

On the Early and Affordable Diagnosis of Joint Pathologies Using Acoustic Emissions, Deep Learning Decompositions and Prediction Machines

Nsugbe

Olorunlambe

Dearn

2023

Sensors

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The condition of a joint in a human being is prone to wear and several pathologies, particularly in the elderly and athletes. Current means towards assessing the overall condition of a joint to assess for a pathology involve using tools such as X-ray and magnetic resonance imaging, to name a couple. These expensive methods are of limited availability in resource-constrained environments and pose the risk of radiation exposure to the patient. The prospect of acoustic emissions (AEs) presents a modality that can monitor the joints’ conditions passively by recording the high-frequency stress waves emitted during their motion. One of the main challenges associated with this sensing method is decoding and linking acquired AE signals to their source event. In this paper, we investigate AEs’ use to identify five kinds of joint-wear pathologies using a contrast of expert-based handcrafted features and unsupervised feature learning via deep wavelet decomposition (DWS) alongside 12 machine learning models. The results showed an average classification accuracy of 90 ± 7.16% and 97 ± 3.77% for the handcrafted and DWS-based features, implying good prediction accuracies across the various devised approaches. Subsequent work will involve the potential application of regressions towards estimating the associated stage and extent of a wear condition where present, which can form part of an online system for the condition monitoring of joints in human beings.

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“…The radiography method can only be used to detect more severe cases of damage and cannot detect early or minor damage [3]. The biggest disadvantage is that the use of this technique increases the risk of cancer by altering the structure of the molecule [4]; ultrasound technology requires the sensor to be placed vertically on the skin for detection [5], which is difficult to achieve due to the complex structure of the hip; magnetic resonance imaging is not a non-destructive method and does not allow continuous detection, and is expensive compared to AE technology; dye penetration techniques require that the material being examined is transparent, however, hip is not transparent [3], so the application of dye penetration techniques is not ideal.…”

Section: Introductionmentioning

confidence: 99%

The feasibility study of the real-time evaluating the total hip replacement (THR) by using acoustic emission

Zhang,

Xie,

Zeng

et al. 2024

Health Monitoring of Structural and Biological Systems XVIII

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The total hip replacement (THR) is a procedure involved removing the damaged bone and cartilage and replacing with prosthetic components, which is one of the most common and successful surgeries. However, clinic examination and medical imaging methods are the main and only efforts to evaluate the status of THR, which is time-consuming and costly. Therefore, to develop a rapid and real-time evaluation of THR is meaningful and promising. Acoustic emission (AE) is a non-invasive and non-destructive evaluation (NDE) method, which is also accurate, reliable and real-time. The use of AE to assess damage after THR can be feasible. Firstly, using silicone material to simulate in the hip in the axial and radial force, ultrasonic wave propagation characteristics in silicone to do exploratory tests. Secondly, this study proposed to introduce the AE to evaluate the status of prosthetic components. The feasibility of adapting AE has been discussed based on numerical model. As the first step, the behavior of elastic wave propagation is the main concern. A model of the biolayer between the in-vitro sensor and the hip was built through COMSOL Multiphysics. The parametric study was conducted with consideration of the influence of frequencies of elastic wave, human action and bio-layer thickness on AE signal propagation. The results show the attenuation of the AE signal with the increase of frequency, the AE source position and the change of bio-layer thickness. The study can provide the basic understanding of elastic wave propagation due to different human action and status of the prosthetic components, which is beneficial for further design of in-vitro device in addition to the clinic examination.

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Hip implant performance prediction by acoustic emission techniques: a review

Cited by 9 publications

References 34 publications

Assessment of Hip and Knee Joints and Implants Using Acoustic Emission Monitoring: A Scoping Review

Assessment of Hip and Knee Joints and Implants Using Acoustic Emission Monitoring: A Scoping Review

On the Early and Affordable Diagnosis of Joint Pathologies Using Acoustic Emissions, Deep Learning Decompositions and Prediction Machines

The feasibility study of the real-time evaluating the total hip replacement (THR) by using acoustic emission

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