Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study.

Journal: Ultrasonics
PMID: 30660337

Abstract

PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for assessing bone health and properties in a safe, inexpensive, and portable manner. This study investigated the efficacy of low-frequency ax-QA measured at the tibia, paired with a support vector machine (SVM) approach for combining multiple acoustic indicators, to diagnose osteoporosis as defined by bone mineral density.

Authors

  • Florian Vogl
    Institute for Biomechanics, ETH Zürich, Zürich, Switzerland. Electronic address: florian.vogl@hest.ethz.ch.
  • Bernd Friesenbichler
    Human Performance Lab, Schulthess Clinic, Zürich, Switzerland.
  • Laura Hüsken
    Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.
  • Inès A Kramers-de Quervain
    Department for Rheumatology and Rehabilitation, Schulthess Clinic, Zürich, Switzerland.
  • William R Taylor
    Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.

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