Published March 14, 2023 | Version 1

Data from: Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study

  • 1. Insight Centre for Data Analytics, Tyndall National Institute, University College Cork, Cork, Ireland
  • 2. Aston University
  • 3. Mater Private Network, Orthopaedic & Spine Centre, Cork, Ireland

Description

This dataset accompanies the following article: "Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2023.3263388.

Knee acoustic emissions (AE) recorded in the 100-450 kHz and 15-200kHz frequency ranges from a cadaver specimen knee in flexion/extension. Four stages of artificially inflicted cartilage damage and two sensor positions were investigated. 

Stages of artificially inflicted cartilage damage: the cartilage surface damage on the medial compartment, KL III; the cartilage surface damage on the medial compartment plus patellofemoral surface, KL III; the cartilage surface damage on the medial compartment plus on the patellofemoral surface KL IV; the cartilage surface damage on the medial compartment plus on the patellofemoral surface and lateral compartment.

Sensor positions: medial and lateral  knee

Notes

Please cite as  "L. Khokhlova, D. -S. Komaris, N. Davarinos, K. Mahalingam, B. O'Flynn and S. Tedesco, "Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2023.3263388."

Files

data.zip

Files (5.4 MB)

Name Size
md5:b1456176e7100f499f11e9caeed326ee
5.4 MB Preview Download
md5:7ec3a94c55e05ed91f8085e87f316358
3.6 kB Preview Download

Additional details

Funding

Science Foundation Ireland
CONNECT: The Centre for Future Networks & Communications 13/RC/2077
Science Foundation Ireland
Confirm Centre for Smart Manufacturing 16/RC/3918
Science Foundation Ireland
INSIGHT - Irelands Big Data and Analytics Research Centre 12/RC/2289