Literature DB >> 27918696

Validation of Inertial Measurement Units for Upper Body Kinematics.

Melissa M B Morrow1, Bethany Lowndes1, Emma Fortune1, Kenton R Kaufman1, M Susan Hallbeck1.   

Abstract

The purpose of this study was to validate a commercially available inertial measurement unit (IMU) system against a standard lab-based motion capture system for the measurement of shoulder elevation, elbow flexion, trunk flexion/extension, and neck flexion/extension kinematics. The validation analyses were applied to 6 surgical faculty members performing a standard, simulated surgical training task that mimics minimally invasive surgery. Three-dimensional joint kinematics were simultaneously recorded by an optical motion capture system and an IMU system with 6 sensors placed on the head, chest, and bilateral upper and lower arms. The sensor-to-segment axes alignment was accomplished manually. The IMU neck and trunk IMU flexion/extension angles were accurate to within 2.9 ± 0.9 degrees and 1.6 ± 1.1°, respectively. The IMU shoulder elevation measure was accurate to within 6.8 ± 2.7° and the elbow flexion measure was accurate to within 8.2 ± 2.8°. In the Bland-Altman analyses, there were no significant systematic errors present; however, there was a significant inversely proportional error across all joints. As the gold standard measurement increased, the IMU underestimated the magnitude of the joint angle. This study reports acceptable accuracy of a commercially available IMU system; however, results should be interpreted as protocol specific.

Entities:  

Keywords:  IMU; biomechanics; ergonomics; shoulder

Mesh:

Year:  2017        PMID: 27918696      PMCID: PMC5459676          DOI: 10.1123/jab.2016-0120

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  37 in total

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7.  Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement.

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5.  Exploring wearable sensors as an alternative to marker-based motion capture in the pitching delivery.

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7.  Wearable systems for shoulder kinematics assessment: a systematic review.

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8.  Efficient Multiaxial Shoulder-Motion Tracking Based on Flexible Resistive Sensors Applied to Exosuits.

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9.  Measuring Ergonomic Risk in Operating Surgeons by Using Wearable Technology.

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10.  Wrist-worn wearables based on force myography: on the significance of user anthropometry.

Authors:  Mona Lisa Delva; Kim Lajoie; Mahta Khoshnam; Carlo Menon
Journal:  Biomed Eng Online       Date:  2020-06-12       Impact factor: 2.819

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