Literature DB >> 34167702

The importance of inertial measurement unit placement in assessing upper limb motion.

Gustav Höglund1, Helena Grip2, Fredrik Öhberg3.   

Abstract

Motion analysis using inertial measurement units (IMU) has emerged as an alternative to optical motion capture. However, the validity and reliability of upper limb measurements varies significantly between studies. The objective of this study was to determine how sensor placement affects kinematic output in the assessment of motion of the arm, shoulder, and scapula. IMUs were placed proximally/distally on arms, and medially/laterally on the scapula, in a group of eleven healthy participants, while performing nine different motion tasks. Linear regressions and mixed models analysed how these different sensor placements affected the estimated joint motion by establishing the linear relationship between sensors placed on the same body segment. The placement of sensors affected the measured kinematic output considerably, most prominent affect was seen for sensor placement on scapula during flexion and abduction, and on forearm during pronation/supination. The slope of the linear regression lines was 2.5 during flexion, 2.7 during abduction, and 1.8 for forearm pronation/supination. The results of this study suggest that the forearm sensor should be placed on the dorsal side of the forearm, at the distal end; the upper arm sensor should be placed laterally, on the distal part of the arm; and the sensor on the scapula should be placed cranially, along the spine of scapula.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Forearm; Healthy induviduals; Inertial measurement unit; Measurement protocol; Motion analysis; Scapula; Sensor placement; Upper arm

Year:  2021        PMID: 34167702     DOI: 10.1016/j.medengphy.2021.03.010

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

1.  Three-Dimensional Kinematics during Shoulder Scaption in Asymptomatic and Symptomatic Subjects by Inertial Sensors: A Cross-Sectional Study.

Authors:  Cristina Roldán-Jiménez; Antonio I Cuesta-Vargas; Jaime Martín-Martín
Journal:  Sensors (Basel)       Date:  2022-04-17       Impact factor: 3.847

2.  Characterization of stroke-related upper limb motor impairments across various upper limb activities by use of kinematic core set measures.

Authors:  Anne Schwarz; Miguel M C Bhagubai; Saskia H G Nies; Jeremia P O Held; Peter H Veltink; Jaap H Buurke; Andreas R Luft
Journal:  J Neuroeng Rehabil       Date:  2022-01-12       Impact factor: 5.208

3.  User-Independent Hand Gesture Recognition Classification Models Using Sensor Fusion.

Authors:  Jose Guillermo Colli Alfaro; Ana Luisa Trejos
Journal:  Sensors (Basel)       Date:  2022-02-09       Impact factor: 3.576

4.  Test-Retest Reliability of Kinematic and Temporal Outcome Measures for Clinical Gait and Stair Walking Tests, Based on Wearable Inertial Sensors.

Authors:  Sofie Nilsson; Per Ertzgaard; Mikael Lundgren; Helena Grip
Journal:  Sensors (Basel)       Date:  2022-02-03       Impact factor: 3.576

  4 in total

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