Non-Invasive Monitoring of Knee Osteoarthritis Severity Using Vibration Stimulation

Takeshi Tokoshima; Kazunori Hase; Rui Gong; Makoto Yoshida

doi:10.46604/peti.2024.14079

Authors

Takeshi Tokoshima Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo, Japan
Kazunori Hase Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo, Japan
Rui Gong Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
Makoto Yoshida Department of Mechanical Systems Engineering, Tokyo Metropolitan University, Tokyo, Japan

DOI:

https://doi.org/10.46604/peti.2024.14079

Keywords:

non-invasive monitoring, frequency response function, knee osteoarthritis, vibration stimulation

Abstract

This study aims to explore the application of vibration stimulation for the early detection and assessment of knee osteoarthritis severity, using a porcine knee joint. Accelerometers are attached to the femurs and tibias to measure vibratory responses under simulated osteoarthritic conditions. Frequency response functions are generated from the acceleration data and quantified using the root mean square deviation (RMSD) relative to baseline conditions. To ensure the reliability of the results, a coherence filter is applied, confirming significant differences across various stages of joint injury. The RMSD analysis demonstrates the technique's ability to detect phase differences, particularly within the 1000 Hz frequency range. These findings suggest that vibration stimulation could be a feasible non-invasive diagnostic method for assessing osteoarthritis severity in humans. This study highlights the potential of vibration-based diagnostics as an innovative approach for the early detection of osteoarthritis.

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