Literature DB >> 27371783

The feasibility of shoulder motion tracking during activities of daily living using inertial measurement units.

Bryan Kirking1, Mahmoud El-Gohary2, Young Kwon3.   

Abstract

Measurements of shoulder kinematics during activities of daily living (ADL) can be used to evaluate patient function before and after treatment and help define device testing conditions. The purpose of this study was to demonstrate the feasibility of using wearable inertial measurement units (IMUs) to track shoulder joint angles while performing actual ADLs outside of laboratory simulations. IMU data of 5 subjects with normal shoulders was collected for 4h at the subjects' workplace and up to 4h off-work. An Unscented Kalman Filter (UKF) enhanced with gyroscope bias modeling and zero velocity updates demonstrated an accuracy of about 2° and was used to estimate relative upper arm angles from the IMU data. The overall averaged 95th percentile angles were: flexion 128.8°, abduction 128.4°, and external rotation 69.5°. These peaks angles are similar to other investigator's reports using laboratory simulations of ADLs measured with optical and electromagnetic technologies. Additionally, with a Fourier transform the 50th percentile frequency was determined and used to extrapolate the typical number of arm cycles in a 10year period to be 649,000. Application of the UKF with the additional drift correction made substantial improvements in shoulder tracking performance and this feasibility data suggests that IMUs with the UKF are suitable for extended use outside of laboratory settings. The data provides a novel description of arm motion during ADLs including an estimate for the 10 year cycle count of upper arm motion.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADL; Angle; Kinematics; Motion; Shoulder

Mesh:

Year:  2016        PMID: 27371783     DOI: 10.1016/j.gaitpost.2016.06.008

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  6 in total

1.  Segmentation of shoulder rehabilitation exercises for single and multiple inertial sensor systems.

Authors:  Louise Brennan; Antonio Bevilacqua; Tahar Kechadi; Brian Caulfield
Journal:  J Rehabil Assist Technol Eng       Date:  2020-08-20

2.  Inertial Measurement Unit-Derived Ergonomic Metrics for Assessing Arm Use in Manual Wheelchair Users With Spinal Cord Injury: A Preliminary Report.

Authors:  Omid Jahanian; Meegan G Van Straaten; Brianna M Goodwin; Stephen M Cain; Ryan J Lennon; Jonathan D Barlow; Naveen S Murthy; Melissa M B Morrow
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

3.  Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A Pilot Study.

Authors:  Miguel M C Bhagubai; Gerjan Wolterink; Anne Schwarz; Jeremia P O Held; Bert-Jan F Van Beijnum; Peter H Veltink
Journal:  IEEE J Transl Eng Health Med       Date:  2020-12-07       Impact factor: 3.316

Review 4.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

5.  Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports.

Authors:  Rachel E Horenstein; Yohann R Goudeau; Cara L Lewis; Sandra J Shefelbine
Journal:  Sensors (Basel)       Date:  2020-09-02       Impact factor: 3.576

6.  Assessment of Upper Limb Movement Impairments after Stroke Using Wearable Inertial Sensing.

Authors:  Anne Schwarz; Miguel M C Bhagubai; Gerjan Wolterink; Jeremia P O Held; Andreas R Luft; Peter H Veltink
Journal:  Sensors (Basel)       Date:  2020-08-24       Impact factor: 3.576

  6 in total

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