Evidence map›Paper›PMID 35314956›Full record

ArticleMedical & biological engineering & computing2022

Total hip replacement monitoring: numerical models for the acoustic emission technique.

Remya Ampadi Ramachandran, Christine Lee, Lu Zhang, Supriya M H, Divya Bijukumar, P Srinivasa Pai, Kharma Foucher, Sheng-Wei Chi, Didem Ozevin, Mathew T Mathew

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Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Remya Ampadi RamachandranDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA. rampad2@uic.edu.
Christine LeeDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
Lu ZhangDepartment of Civil, Materials, and Environmental Engineering, University of Illinois, Chicago, IL, USA.
Supriya M HDepartment of Electronics, Cochin University of Science and Technology, Kochi, India.
Divya BijukumarRMDR Lab, Department of Biomedical Sciences, University of Illinois College of Medicine, Rockford, IL, USA.
P Srinivasa PaiDepartment of Mechanical Engineering, NMAM Institute of Technology, Nitte, Karnataka, India.
Kharma FoucherDepartment of Kinesiology and Nutrition, University of Illinois, Chicago, IL, USA.
Sheng-Wei ChiDepartment of Civil, Materials, and Environmental Engineering, University of Illinois, Chicago, IL, USA. swchi@uic.edu.
Didem OzevinDepartment of Civil, Materials, and Environmental Engineering, University of Illinois, Chicago, IL, USA.
Mathew T MathewDepartment of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Any mechanical instability associated with total hip replacement (THR) excites elastic waves with different frequencies and propagates through the surrounding biological layers. Using the acoustic emission (AE) technique as a THR monitoring tool provides valuable information on structural degradations associated with these implants. However, several factors can compromise the reliability of the signals detected by AE sensors, such as attenuation of the detected signal due to the presence of biological layers in the human body between prosthesis (THR) and AE sensor. The main objective of this study is to develop a numerical model of THR that evaluates the impact of biological layer thicknesses on AE signal propagation. Adipose tissue thickness, which varies the most between patients, was modeled at two different thicknesses 40 mm and 70 mm, while the muscle and skin thicknesses were kept to a constant value. The proposed models were tested at different micromotions of 2 µm, 15-20 µm at modular junctions, and different frequencies of 10-60 kHz. Attenuation of signal is observed to be more with an increase in the selected boundary conditions along with an increase in distance the signals propagate through. Thereby, the numerical observations drawn on each interface helped to simulate the effect of tissue thicknesses and their impact on the attenuation of elastic wave propagation to the AE receiver sensor.

Indexed as

Arthroplasty, Replacement, HipAcousticsHumansProstheses and ImplantsReproducibility of ResultsAcoustic emission (AE)Finite element (FE) analysisNon-invasive techniquesNumerical modelingTotal hip replacements (THR)

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.