4.0 Article

A Minimal Sensor Inertial Measurement Unit System Is Replicable and Capable of Estimating Bilateral Lower-Limb Kinematics in a Stationary Bodyweight Squat and a Countermovement Jump

Journal

JOURNAL OF APPLIED BIOMECHANICS
Volume 39, Issue 1, Pages 42-53

Publisher

HUMAN KINETICS PUBL INC
DOI: 10.1123/jab.2022-0168

Keywords

wearables; algorithm development; joint angles

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This study aimed to validate a 7-sensor inertial measurement unit system against optical motion capture to estimate bilateral lower-limb kinematics. The results showed moderate to good agreement in peak angles and range of motion for various joints during the two exercises. However, peak flexion angles had poor agreement. Future work will focus on optimizing methodologies and expanding the planes of movement to improve usability and confidence in data interpretation.
This study aimed to validate a 7-sensor inertial measurement unit system against optical motion capture to estimate bilateral lower -limb kinematics. Hip, knee, and ankle sagittal plane peak angles and range of motion (ROM) were compared during bodyweight squats and countermovement jumps in 18 participants. In the bodyweight squats, left peak hip flexion (intraclass correlation coefficient [ICC] = .51), knee extension (ICC = .68) and ankle plantar flexion (ICC = .55), and hip (ICC = .63) and knee (ICC = .52) ROM had moderate agreement, and right knee ROM had good agreement (ICC = .77). Relatively higher agreement was observed in the countermovement jumps compared to the bodyweight squats, moderate to good agreement in right peak knee flexion (ICC = .73), and right (ICC = .75) and left (ICC = .83) knee ROM. Moderate agreement was observed for right ankle plantar flexion (ICC = .63) and ROM (ICC = .51). Moderate agreement (ICC > .50) was observed in all variables in the left limb except hip extension, knee flexion, and dorsiflexion. In general, there was poor agreement for peak flexion angles, and at least moderate agreement for joint ROM. Future work will aim to optimize methodologies to increase usability and confidence in data interpretation by minimizing variance in system-based differences and may also benefit from expanding planes of movement.

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