Accuracy measurement of different marker based motion analysis systems for biomechanical applications: A round robin study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 22 03 2022
accepted: 28 06 2022
entrez: 11 7 2022
pubmed: 12 7 2022
medline: 14 7 2022
Statut: epublish

Résumé

Multiple camera systems are widely used for 3D-motion analysis. Due to increasing accuracies these camera systems gained interest in biomechanical research areas, where high precision measurements are desirable. In the current study different measurement systems were compared regarding their measurement accuracy. Translational and rotational accuracy measurements as well as the zero offset measurements of seven different measurement systems were performed using two reference devices and two different evaluation algorithms. All measurements were performed in the same room with constant temperature at the same laboratory. Equal positions were measured with the systems according to a standardized protocol. Measurement errors were determined and compared. The highest measurement errors were seen for a measurement system using active ultrasonic markers, followed by another active marker measurement system (infrared) having measurement errors up to several hundred micrometers. The highest accuracies were achieved by three stereo camera systems, using passive 2D marker points having errors typically below 20 μm. This study can help to better assess the results obtained with different measurement systems. With the focus on the measurement accuracy, only one aspect in the selection of a system was considered. Depending on the requirements of the user, other factors like measurement frequency, the maximum analyzable volume, the marker type or the costs are important factors as well.

Identifiants

pubmed: 35816503
doi: 10.1371/journal.pone.0271349
pii: PONE-D-22-08505
pmc: PMC9273086
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0271349

Déclaration de conflit d'intérêts

[I have read the journal’s policy and the authors of this manuscript have the following competing interests: [Sebastian Jaeger reports grants from B Braun Aesculap, Johnson & Johnson Depuy Synthes, Heraeus Medical, Waldemar Link, Peter Brehm, Ceramtec, Implantcast, Mathys Orthopaedie GmbH and Zimmer Biomet that are not related to the current study. This does not alter our adherence to PLOS ONE policies on sharing data and materials.”]

Références

J Arthroplasty. 2015 May;30(5):870-4
pubmed: 25662671
J Exp Orthop. 2018 Sep 10;5(1):34
pubmed: 30203221
J Orthop Surg Res. 2016 Jul 05;11(1):73
pubmed: 27380777
BMC Musculoskelet Disord. 2015 Sep 30;16:271
pubmed: 26423154
Materials (Basel). 2020 Apr 10;13(7):
pubmed: 32290103
Medicine (Baltimore). 2017 Oct;96(41):e8291
pubmed: 29019902
Bone Joint Res. 2016 Apr;5(4):122-9
pubmed: 27095658
Z Orthop Unfall. 2020 Jun;158(3):304-317
pubmed: 31291674
J Biomech. 2020 Jun 9;106:109820
pubmed: 32517978
Front Bioeng Biotechnol. 2018 Oct 18;6:141
pubmed: 30406090
Int Orthop. 2012 Jan;36(1):73-8
pubmed: 21647735
Clin Biomech (Bristol, Avon). 2017 Feb;42:70-78
pubmed: 28110243
J Athl Train. 2013 Jul-Aug;48(4):450-62
pubmed: 23768121
PLoS One. 2017 May 8;12(5):e0177285
pubmed: 28481956
J Biomech. 2017 Jun 14;58:237-240
pubmed: 28549599

Auteurs

Stefan Schroeder (S)

Laboratory of Biomechanics and Implant Research, Department of Orthopaedics, Heidelberg University Hospital, Heidelberg, Germany.

Sebastian Jaeger (S)

Laboratory of Biomechanics and Implant Research, Department of Orthopaedics, Heidelberg University Hospital, Heidelberg, Germany.

Jonas Schwer (J)

Institute of Orthopaedic Research and Biomechanics, Centre for Trauma Research Ulm, Ulm University Medical Centre, Ulm, Germany.

Andreas Martin Seitz (AM)

Institute of Orthopaedic Research and Biomechanics, Centre for Trauma Research Ulm, Ulm University Medical Centre, Ulm, Germany.

Isabell Hamann (I)

Fraunhofer Institute for Machine Tools and Forming Technology, Dresden, Germany.

Michael Werner (M)

Fraunhofer Institute for Machine Tools and Forming Technology, Dresden, Germany.

Christoph Thorwaechter (C)

Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.

Inês Santos (I)

Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.

Toni Wendler (T)

ZESBO-Center for Research on Musculoskeletal Systems, Leipzig University, Leipzig, Germany.

Dennis Nebel (D)

Laboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School, Hannover, Germany.

Bastian Welke (B)

Laboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School, Hannover, Germany.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature
Humans Algorithms Software Artificial Intelligence Computer Simulation

Unsupervised learning for real-time and continuous gait phase detection.

Dollaporn Anopas, Yodchanan Wongsawat, Jetsada Arnin
1.00
Humans Gait Neural Networks, Computer Unsupervised Machine Learning Walking

Classifications MeSH