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Related Concept Videos

Knee Joint01:23

Knee Joint

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The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
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Correlation between proprioception, functionality, patient-reported knee condition and joint acoustic emissions.

Liudmila Khokhlova1, Dimitrios Sokratis Komaris2, Brendan O'Flynn1

  • 1Insight Centre for Data Analytics, Tyndall National Institute, University College Cork, Cork, Ireland.

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|November 6, 2024
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Summary
This summary is machine-generated.

Acoustic emissions (AE) from knee joints correlate with functional assessments like the 5 times sit-to-stand test and Knee Osteoarthritis Outcome Scores. This non-invasive method shows promise for monitoring joint health and complementing diagnostics.

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Area of Science:

  • Biomedical Engineering
  • Orthopaedics
  • Diagnostic Technologies

Background:

  • Non-invasive joint assessment using acoustic emissions (AE) is an emerging field with clinical potential.
  • AE analysis may reflect the interaction of articular surfaces, offering insights into joint status.

Purpose of the Study:

  • To investigate the correlation between knee acoustic emissions and measures of proprioception, self-assessment, and physical performance.
  • To explore the potential of AE as a complementary tool in orthopaedic diagnostics.

Main Methods:

  • Collected data on Threshold to Detect Passive Motion (TTDPM), Knee Osteoarthritis Outcome Scores (KOOS), and 5 times sit-to-stand test (5STS) from 51 participants.
  • Recorded knee AE during cycling at 30 and 60 rpm using dual sensors and multiple detection modes.

Main Results:

  • Observed weak to moderate correlations between AE parameters (energy, signal strength, rise time, duration) and longer 5STS times.
  • Found correlations between AE parameters and lower KOOS scores, particularly in "Function in Sports and Recreation" and "Activities of Daily Living" subscales.
  • Lower frequency sensors and 60 rpm cadence recordings yielded higher correlations; TTDPM showed limited correlation.

Conclusions:

  • Acoustic emissions monitoring provides an additional joint assessment modality reflecting cartilage surface interaction.
  • AE can complement existing orthopaedic diagnostics, particularly for remote monitoring, drug testing, and rehabilitation.
  • Higher correlations may be observed in clinically confirmed osteoarthritis cases.