Literature DB >> 30585155

Assessment of the measurement accuracy of inertial sensors during different tasks of daily living.

Marion Mundt1, Wolf Thomsen2, Sina David3, Thomas Dupré3, Franz Bamer2, Wolfgang Potthast3, Bernd Markert2.   

Abstract

The low cost and ease of use of inertial measurement units (IMUs) make them an attractive option for motion analysis tasks that cannot be easily measured in a laboratory. To date, only a limited amount of research has been conducted comparing commercial IMU systems to optoelectronic systems, the gold standard, for everyday tasks like stair climbing and inclined walking. In this paper, the 3D joint angles of the lower limbs are determined using both an IMU system and an optoelectronic system for twelve participants during stair ascent and descent, and inclined, declined and level walking. Three different datasets based on different hardware and anatomical models were collected for the same movement in an effort to determine the cause and quantify the errors involved with the analysis. Firstly, to calculate software errors, two different anatomical models were compared for one hardware system. Secondly, to calculate hardware errors, results were compared between two different measurement systems using the same anatomical model. Finally, the overall error between both systems with their native anatomical models was calculated. Statistical analysis was performed using statistical parametric mapping. When both systems were evaluated based on the same anatomical model, the number of trials with significant differences decreased markedly. Thus, the differences in joint angle measurement can mainly be attributed to the variability in the anatomical models used for calculations and not to the IMU hardware.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anatomical model; Inclined walking; Inertial measurement units; Motion analysis; Stair climbing

Mesh:

Year:  2018        PMID: 30585155     DOI: 10.1016/j.jbiomech.2018.12.023

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  Prediction of lower limb joint angles and moments during gait using artificial neural networks.

Authors:  Marion Mundt; Wolf Thomsen; Tom Witter; Arnd Koeppe; Sina David; Franz Bamer; Wolfgang Potthast; Bernd Markert
Journal:  Med Biol Eng Comput       Date:  2019-12-11       Impact factor: 2.602

2.  Compensatory Motion of the Subtalar Joint Following Tibiotalar Arthrodesis: An in Vivo Dual-Fluoroscopy Imaging Study.

Authors:  Amy L Lenz; Jennifer A Nichols; Koren E Roach; K Bo Foreman; Alexej Barg; Charles L Saltzman; Andrew E Anderson
Journal:  J Bone Joint Surg Am       Date:  2020-04-01       Impact factor: 6.558

3.  Discriminant validity of 3D joint kinematics and centre of mass displacement measured by inertial sensor technology during the unipodal stance task.

Authors:  R van der Straaten; M Wesseling; I Jonkers; B Vanwanseele; A K B D Bruijnes; J Malcorps; J Bellemans; J Truijen; L De Baets; A Timmermans
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

4.  Comparison of a New Inertial Sensor Based System with an Optoelectronic Motion Capture System for Motion Analysis of Healthy Human Wrist Joints.

Authors:  Michael Alexander Wirth; Gabriella Fischer; Jorge Verdú; Lisa Reissner; Simone Balocco; Maurizio Calcagni
Journal:  Sensors (Basel)       Date:  2019-12-01       Impact factor: 3.576

5.  Intra- and inter-rater reliability of joint range of motion tests using tape measure, digital inclinometer and inertial motion capturing.

Authors:  Laura Fraeulin; Fabian Holzgreve; Mark Brinkbäumer; Anna Dziuba; David Friebe; Stefanie Klemz; Marco Schmitt; Anna-Lena Theis A; Sarah Tenberg; Anke van Mark; Christian Maurer-Grubinger; Daniela Ohlendorf
Journal:  PLoS One       Date:  2020-12-10       Impact factor: 3.240

6.  Synthesising 2D Video from 3D Motion Data for Machine Learning Applications.

Authors:  Marion Mundt; Henrike Oberlack; Molly Goldacre; Julia Powles; Johannes Funken; Corey Morris; Wolfgang Potthast; Jacqueline Alderson
Journal:  Sensors (Basel)       Date:  2022-08-29       Impact factor: 3.847

7.  Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis.

Authors:  Arash Ghaffari; Ole Rahbek; Rikke Emilie Kildahl Lauritsen; Andreas Kappel; Søren Kold; John Rasmussen
Journal:  Sensors (Basel)       Date:  2022-07-15       Impact factor: 3.847

8.  Physical Activity and Ecological Means of Transport-Functional Assessment Methodology.

Authors:  Sylwia Agata Bęczkowska; Iwona Grabarek; Zuzanna Zysk; Katarzyna Gosek-Ferenc
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

9.  Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors.

Authors:  Yosuke Tomita; Tomoki Iizuka; Koichi Irisawa; Shigeyuki Imura
Journal:  Sensors (Basel)       Date:  2021-05-24       Impact factor: 3.576

  9 in total

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