4.6 Article

Evaluation of a New Simplified Inertial Sensor Method against Electrogoniometer for Measuring Wrist Motion in Occupational Studies

Journal

SENSORS
Volume 22, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/s22041690

Keywords

inertial measurement units; gyroscope; goniometer; wrist flexion velocity; work-related musculoskeletal disorders; ergonomics; hand-intensive work

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This study evaluated a new convenient and low-cost method based on IMU for measuring wrist flexion velocity. The results suggest that the IMU-based method can be considered a convenient method for assessing wrist motion and the IMUflex method is preferred for simulated work tasks.
Wrist velocity is an important risk factor for work-related musculoskeletal disorders in the elbow/hand, which is also difficult to assess by observation or self-reports. This study aimed to evaluate a new convenient and low-cost inertial measurement unit (IMU)-based method using gyroscope signals against an electrogoniometer for measuring wrist flexion velocity. Twelve participants performed standard wrist movements and simulated work tasks while equipped with both systems. Two computational algorithms for the IMU-based system, i.e., IMUnorm and IMUflex, were used. For wrist flexion/extension, the mean absolute errors (MAEs) of median wrist flexion velocity compared to the goniometer were <10.1 degrees/s for IMUnorm and <4.1 degrees/s for IMUflex. During wrist deviation and pronation/supination, all methods showed errors, where the IMUnorm method had the largest overestimations. For simulated work tasks, the IMUflex method had small bias and better accuracy than the IMUnorm method compared to the goniometer, with the MAEs of median wrist flexion velocity <5.8 degrees/s. The results suggest that the IMU-based method can be considered as a convenient method to assess wrist motion for occupational studies or ergonomic evaluations for the design of workstations and tools by both researchers and practitioners, and the IMUflex method is preferred. Future studies need to examine algorithms to further improve the accuracy of the IMU-based method in tasks of larger variations, as well as easy calibration procedures.

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