Literature DB >> 28259462

Standardization proposal of soft tissue artefact description for data sharing in human motion measurements.

Andrea Cereatti1, Tecla Bonci2, Massoud Akbarshahi3, Kamiar Aminian4, Arnaud Barré4, Mickael Begon5, Daniel L Benoit6, Caecilia Charbonnier7, Fabien Dal Maso5, Silvia Fantozzi8, Cheng-Chung Lin9, Tung-Wu Lu10, Marcus G Pandy3, Rita Stagni8, Antonie J van den Bogert11, Valentina Camomilla12.   

Abstract

Soft tissue artefact (STA) represents one of the main obstacles for obtaining accurate and reliable skeletal kinematics from motion capture. Many studies have addressed this issue, yet there is no consensus on the best available bone pose estimator and the expected errors associated with relevant results. Furthermore, results obtained by different authors are difficult to compare due to the high variability and specificity of the phenomenon and the different metrics used to represent these data. Therefore, the aim of this study was twofold: firstly, to propose standards for description of STA; and secondly, to provide illustrative STA data samples for body segments in the upper and lower extremities and for a range of motor tasks specifically, level walking, stair ascent, sit-to-stand, hip- and knee-joint functional movements, cutting motion, running, hopping, arm elevation and functional upper-limb movements. The STA dataset includes motion of the skin markers measured in vivo and ex vivo using stereophotogrammetry as well as motion of the underlying bones measured using invasive or bio-imaging techniques (i.e., X-ray fluoroscopy or MRI). The data are accompanied by a detailed description of the methods used for their acquisition, with information given about their quality as well as characterization of the STA using the proposed standards. The availability of open-access and standard-format STA data will be useful for the evaluation and development of bone pose estimators thus contributing to the advancement of three-dimensional human movement analysis and its translation into the clinical practice and other applications.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Human movement analysis; Kinematics; Open data; Soft tissue artefact; Stereophotogrammetry

Mesh:

Year:  2017        PMID: 28259462     DOI: 10.1016/j.jbiomech.2017.02.004

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


  18 in total

1.  Soft tissue artifact causes underestimation of hip joint kinematics and kinetics in a rigid-body musculoskeletal model.

Authors:  Niccolo M Fiorentino; Penny R Atkins; Michael J Kutschke; K Bo Foreman; Andrew E Anderson
Journal:  J Biomech       Date:  2020-06-13       Impact factor: 2.712

2.  Comparison of Marker-Based and Stereo Radiography Knee Kinematics in Activities of Daily Living.

Authors:  Donald R Hume; Vasiliki Kefala; Michael D Harris; Kevin B Shelburne
Journal:  Ann Biomed Eng       Date:  2018-06-14       Impact factor: 3.934

Review 3.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

4.  IMU-based sensor-to-segment multiple calibration for upper limb joint angle measurement-a proof of concept.

Authors:  Mahdi Zabat; Amina Ababou; Noureddine Ababou; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2019-08-30       Impact factor: 2.602

Review 5.  The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review.

Authors:  Ezio Preatoni; Elena Bergamini; Silvia Fantozzi; Lucie I Giraud; Amaranta S Orejel Bustos; Giuseppe Vannozzi; Valentina Camomilla
Journal:  Sensors (Basel)       Date:  2022-04-22       Impact factor: 3.847

Review 6.  A review of musculoskeletal modelling of human locomotion.

Authors:  Adam D Sylvester; Steven G Lautzenheiser; Patricia Ann Kramer
Journal:  Interface Focus       Date:  2021-08-13       Impact factor: 4.661

7.  Description of soft tissue artifacts and related consequences on hindlimb kinematics during canine gait.

Authors:  Cheng-Chung Lin; Shi-Nuan Wang; Ming Lu; Tzu-Yi Chao; Tung-Wu Lu; Ching-Ho Wu
Journal:  PeerJ       Date:  2020-06-26       Impact factor: 2.984

8.  A Simple Algorithm for Assimilating Marker-Based Motion Capture Data During Periodic Human Movement Into Models of Multi-Rigid-Body Systems.

Authors:  Yasuyuki Suzuki; Takuya Inoue; Taishin Nomura
Journal:  Front Bioeng Biotechnol       Date:  2018-10-18

9.  Quantification of three-dimensional soft tissue artifacts in the canine hindlimb during passive stifle motion.

Authors:  Cheng-Chung Lin; Chia-Lin Chang; Ming Lu; Tung-Wu Lu; Ching-Ho Wu
Journal:  BMC Vet Res       Date:  2018-12-07       Impact factor: 2.741

10.  Functional estimation of bony segment lengths using magneto-inertial sensing: Application to the humerus.

Authors:  Michele Crabolu; Danilo Pani; Luigi Raffo; Maurizio Conti; Andrea Cereatti
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

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