Literature DB >> 34205721

Measurement of Ankle Joint Movements Using IMUs during Running.

Byong Hun Kim1,2, Sung Hyun Hong3, In Wook Oh4, Yang Woo Lee4, In Ho Kee4, Sae Yong Lee1,2,5.   

Abstract

Gait analysis has historically been implemented in laboratory settings only with expensive instruments; yet, recently, efforts to develop and integrate wearable sensors into clinical applications have been made. A limited number of previous studies have been conducted to validate inertial measurement units (IMUs) for measuring ankle joint kinematics, especially with small movement ranges. Therefore, the purpose of this study was to validate the ability of available IMUs to accurately measure the ankle joint angles by comparing the ankle joint angles measured using a wearable device with those obtained using a motion capture system during running. Ten healthy subjects participated in the study. The intraclass correlation coefficient (ICC) and standard error of measurement were calculated for reliability, whereas the Pearson coefficient correlation was performed for validity. The results showed that the day-to-day reliability was excellent (0.974 and 0.900 for sagittal and frontal plane, respectively), and the validity was good in both sagittal (r = 0.821, p < 0.001) and frontal (r = 0.835, p < 0.001) planes for ankle joints. In conclusion, we suggest that the developed device could be used as an alternative tool for the 3D motion capture system for assessing ankle joint kinematics.

Entities:  

Keywords:  gait; inertial measurement units; kinematic; motion analysis; validation

Year:  2021        PMID: 34205721     DOI: 10.3390/s21124240

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

2.  Wearables for Movement Analysis in Healthcare.

Authors:  Paolo Capodaglio; Veronica Cimolin
Journal:  Sensors (Basel)       Date:  2022-05-13       Impact factor: 3.847

3.  The Validity of Wireless Earbud-Type Wearable Sensors for Head Angle Estimation and the Relationships of Head with Trunk, Pelvis, Hip, and Knee during Workouts.

Authors:  Ae-Ryeong Kim; Ju-Hyun Park; Si-Hyun Kim; Kwang Bok Kim; Kyue-Nam Park
Journal:  Sensors (Basel)       Date:  2022-01-13       Impact factor: 3.576

  3 in total

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