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Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System.

Sofia Scataglini1,2,3, Stijn Verwulgen3, Eddy Roosens1

  • 1Center for Physical Medicine and Rehabilitation, Military Hospital Queen Astrid, Rue Bruyn 200, 1120 Bruxelles, Belgium.

Sensors (Basel, Switzerland)
|July 2, 2021
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Summary

Comparing wearable inertial motion capture (Xsens) and a photoelectronic system (OptoGait), this study found differences in spatiotemporal gait parameters. OptoGait demonstrated lower mean square error for speed measurement, highlighting the importance of accurate heel strike and toe-off detection.

Keywords:
gait analysisgait measuring systemspatiotemporal parameterstreadmillwearable sensors

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Area of Science:

  • Biomechanics
  • Human movement analysis
  • Wearable technology

Background:

  • Accurate measurement of spatiotemporal parameters (SPT) is crucial for gait analysis.
  • Wearable inertial motion capture (Xsens) and photoelectronic systems (OptoGait) are common tools for gait assessment.
  • Understanding the comparative accuracy of these systems is essential for reliable clinical and research applications.

Purpose of the Study:

  • To compare spatiotemporal gait parameters measured by a wearable inertial mocap system (Xsens) and a photoelectronic system (OptoGait).
  • To evaluate the accuracy of speed measurement between the two systems.
  • To identify factors influencing discrepancies in gait parameter calculations.

Main Methods:

  • Nineteen subjects walked on a treadmill at 5 km/h.
  • Spatiotemporal gait parameters were measured using Xsens MVN Awinda and OptoGait systems.
  • Step length was calculated using inverted pendulum and anthropometric models.
  • Mean square error (MSE) was used to compare speed measurements.

Main Results:

  • Absolute agreement was found for stance phase, cadence, and gait cycle calculations between systems.
  • Differences in spatiotemporal parameters were observed between Xsens and OptoGait.
  • OptoGait showed a smaller mean square error (MSE = 0.0008) for speed measurement compared to the imposed treadmill speed.
  • Accurate detection of heel strike and toe-off significantly influences gait phase calculations.

Conclusions:

  • While some gait parameters show agreement, discrepancies exist between Xsens and OptoGait systems.
  • The OptoGait system demonstrated higher accuracy in measuring walking speed.
  • Further research is needed to improve algorithms and product integration for more accurate gait analysis in diverse environments.