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Classification of Bones01:18

Classification of Bones

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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
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Related Experiment Video

Updated: Mar 14, 2026

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

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Ultrasonic bone localization algorithm based on time-series cumulative kurtosis.

Guillermo Robles1, José Manuel Fresno1, Romano Giannetti2

  • 1Department of Electrical Engineering, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain.

ISA Transactions
|September 26, 2016
PubMed
Summary
This summary is machine-generated.

Accurately measuring bone position during movement is crucial for advanced prosthetics and exoskeletons. This study evaluates ultrasound time-of-flight (TOF) methods, finding cumulative kurtosis best for in vivo bone depth measurement.

Keywords:
Biomedical transducersLocalizationTime of flightUltrasonic transducersUltrasound

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Accurate bone position measurement is vital for optimizing protective equipment like exoskeletons and prosthetics.
  • Current motion capture methods using video cameras and skin markers lack direct bone position measurement.
  • Invasive methods like fluoroscopy are unsuitable for prolonged use due to cost and radiation concerns.

Purpose of the Study:

  • To evaluate various time-of-flight (TOF) determination methods for ultrasound-based bone depth measurement.
  • To assess the impact of different signal processing techniques on measurement accuracy and repeatability.
  • To identify the most effective algorithm for in vivo bone depth measurement using ultrasound.

Main Methods:

  • Combined skin-mounted markers with ultrasound technology for 3D bone position tracking.
  • Evaluated multiple algorithms for calculating the time-of-flight (TOF) of ultrasound pulses.
  • Conducted experiments using calibration setups and real human tissues to test algorithm performance.
  • Assessed algorithm performance based on accuracy, repeatability, and robustness to sensor non-verticality.

Main Results:

  • The choice of signal processing method significantly influences bone depth measurement accuracy.
  • Measurement accuracy is particularly affected when sensor verticality is compromised.
  • The cumulative kurtosis algorithm demonstrated superior accuracy and repeatability for in vivo bone depth measurements.
  • The study validated performance using ultrasound sensors at approximately 5MHz.

Conclusions:

  • Ultrasound technology, combined with advanced TOF algorithms, offers a non-invasive solution for bone depth measurement.
  • The cumulative kurtosis algorithm is highly suitable for in vivo bone depth assessment in biomedical applications.
  • Accurate bone depth measurement using ultrasound can significantly advance the design of exoskeletons and prosthetics.