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Evaluation of a Restoration Algorithm Applied to Clipped Tibial Acceleration Signals.

Zoe Y S Chan1,2, Chloe Angel3, Daniel Thomson3

  • 1Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary

A spline interpolation algorithm for low-range accelerometers may distort tibial acceleration data. This study found the algorithm could skew measurements of peak forces, potentially leading to inaccurate conclusions in running analyses.

Keywords:
accelerometerinterpolationoperating rangepeak tibial accelerationwearable sensors

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Wireless accelerometers measure tibial acceleration during activities like running.
  • Low-operating range accelerometers can produce distorted signals and inaccurate peak measurements.
  • A spline interpolation algorithm has been proposed to correct these distorted signals.

Purpose of the Study:

  • To evaluate the accuracy of a spline interpolation restoration algorithm for tibial acceleration peaks.
  • To compare measurements from a low-range (±16 g) accelerometer against a high-range (±200 g) reference accelerometer.
  • To assess the algorithm's performance on both axial and resultant peak accelerations.

Main Methods:

  • 24 runners performed outdoor running assessments.
  • Each runner was fitted with two tri-axial accelerometers on their tibia.
  • A high-range accelerometer (±200 g) served as the reference standard.
  • A low-range accelerometer (±16 g) data was processed using a spline interpolation algorithm.

Main Results:

  • The restoration algorithm showed an average difference of -1.40 ± 4.52 g for axial peaks.
  • An average difference of -1.23 ± 5.48 g was observed for resultant peaks.
  • The algorithm's accuracy for higher magnitude peaks and resultant peaks was evaluated against the reference.

Conclusions:

  • The spline interpolation algorithm may introduce inaccuracies in tibial acceleration measurements.
  • The algorithm has the potential to skew data, particularly for higher magnitude peaks.
  • Caution is advised when using this restoration algorithm to avoid erroneous conclusions in biomechanical analysis.