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Related Experiment Video

Updated: Apr 3, 2026

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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Frequency response in bone joint acoustic sensor development.

Mitsuo Nagao1, Shin-ichi Konno2, Young Ho Kim3

  • 1College of Engineering, Nihon University, Koriyama, Japan.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|September 28, 2015
PubMed
Summary

A new bone joint acoustic sensor (BJAS) shows superior performance in detecting knee joint vibrations during movement compared to traditional acceleration sensors. This advancement offers potential for improved diagnostics in knee osteoarthritis (KOA).

Keywords:
Bone jointacoustic sensorcoherencefrequency responseimpact excitation methodknee jointpig skinshort time Fourier transform (STFT)

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Area of Science:

  • Biomedical Engineering
  • Medical Diagnostics
  • Wearable Technology

Background:

  • Age-related knee osteoarthritis (KOA) significantly impacts the elderly population.
  • Developing effective diagnostic and monitoring tools for KOA is crucial for preventive healthcare.
  • Mechanical vibrations within knee joints are key indicators of joint health.

Purpose of the Study:

  • To develop and evaluate a novel bone joint acoustic sensor (BJAS) for measuring knee joint mechanical vibrations.
  • To compare the performance of BJAS against a standard acceleration sensor.
  • To assess the potential of BJAS for diagnosing and monitoring knee conditions.

Main Methods:

  • BJAS and an acceleration sensor were used to record knee joint vibrations in six healthy young adults.
  • Two frequency-response tests were conducted: impact excitation and knee bending/stretching motions.
  • Signal analysis included cross spectral density, coherence function, and Fourier transform to quantify sensor responses.

Main Results:

  • BJAS detected signals from 0.5-15.0 kHz during impact tests, but acceleration sensors were superior due to signal damping in soft tissues at higher frequencies.
  • For knee bending and stretching, BJAS detected signals from 0.5-8.0 kHz and demonstrated marked superiority over the acceleration sensor.
  • Signal intensity was quantifiable for each frequency, enabling detailed analysis.

Conclusions:

  • BJAS exhibits superior frequency response compared to acceleration sensors for capturing knee joint motion signals during bending and stretching.
  • The findings suggest BJAS holds significant promise for applications in understanding knee biomechanics and diagnosing joint pathologies.
  • BJAS could be a valuable tool for non-invasive, in-vivo monitoring of knee joint health.