Analysis of knee joint acoustic emissions using variational mode decomposition and sample entropy for osteoarthritis detection

Key Points

• Acoustic emissions strongly predict osteoarthritis presence, enhancing early diagnosis.
• A notable feature is a significant difference in sample entropy values between osteoarthritis and healthy joints.
• Analysis employs variational mode decomposition combined with sample entropy techniques to enhance detection accuracy.
• The findings imply that utilizing acoustic emission analysis may improve osteoarthritis diagnostic methods in clinical settings.