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IMU filter settings for high intensity activities.

Emily J Miller1, Riley C Sheehan2, Kenton R Kaufman1

  • 1Mayo Clinic, United States.

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|October 11, 2021
PubMed
Summary
This summary is machine-generated.

This study determined appropriate inertial measurement unit (IMU) filter cut-off frequencies for high-intensity activities. Findings suggest cut-off frequencies should be based on segment accelerations for reliable biomechanical data.

Keywords:
Energy spectrumFilter cut-off frequencyIMUTrunk kinematics

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Wearable Technology

Background:

  • Current recommendations for inertial measurement unit (IMU) filter cut-off frequencies are often based on marker-based systems or low-intensity movements.
  • Filter cut-off frequency selection significantly influences biomechanical data analysis.
  • There is a lack of established IMU filter settings for high-intensity activity research.

Purpose of the Study:

  • To establish appropriate inertial measurement unit (IMU) filter cut-off frequencies for capturing trunk kinematics during high-intensity activities.
  • To investigate the impact of filter settings on biomechanical data extracted from IMUs.
  • To provide guidance for selecting IMU filter settings in biomechanics research.

Main Methods:

  • Ten healthy participants underwent controlled postural perturbations on a treadmill, increasing in intensity until a fall occurred.
  • An IMU placed on the sternum recorded trunk sagittal kinematics during the 500ms preceding falls.
  • Trunk angle, angular velocity, and linear acceleration cut-off frequencies were calculated using 99% of the energy spectrum (E99).

Main Results:

  • Trunk flexion angle cut-off frequency was 4 ± 4 Hz, and linear acceleration was 35 ± 10 Hz, aligning with prior research.
  • Trunk flexion angular velocity exhibited a higher cut-off frequency of 26 ± 7 Hz compared to previous reports.
  • These findings highlight variations in optimal filter settings based on the specific kinematic variable and activity intensity.

Conclusions:

  • Inertial measurement unit (IMU) filter cut-off frequency selection for biomechanical analysis should prioritize segment accelerations over general activity type.
  • Standardized and reported IMU filter settings are crucial for enhancing data quality, inference reliability, and study reproducibility in biomechanics.
  • Future research should focus on validating these findings across diverse high-intensity activities and participant populations.