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Standardization proposal of soft tissue artefact description for data sharing in human motion measurements.
Cereatti, Andrea; Bonci, Tecla; Akbarshahi, Massoud; Aminian, Kamiar; Barré, Arnaud; Begon, Mickael; Benoit, Daniel L; Charbonnier, Caecilia; Dal Maso, Fabien; Fantozzi, Silvia; Lin, Cheng-Chung; Lu, Tung-Wu; Pandy, Marcus G; Stagni, Rita; van den Bogert, Antonie J; Camomilla, Valentina.
Afiliação
  • Cereatti A; POLCOMING Department, Information Engineering Unit, University of Sassari, Sassari, Italy; Dept. of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Rome "Foro Italico", Rome, It
  • Bonci T; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Rome "Foro Italico", Rome, Italy; Life and Health Sciences, Aston University, Birmingham, United Kingdom.
  • Akbarshahi M; Department of Mechanical Engineering, University of Melbourne, Victoria, Australia.
  • Aminian K; Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Barré A; Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Begon M; Laboratory of Simulation and Movement Modeling, Department of Kinesiology, University of Montreal, Montreal, Canada.
  • Benoit DL; Faculty of Health Sciences, University of Ottawa, Ottawa, Canada.
  • Charbonnier C; Artanim Foundation, Medical Research Department, Geneva, Switzerland.
  • Dal Maso F; Laboratory of Simulation and Movement Modeling, Department of Kinesiology, University of Montreal, Montreal, Canada.
  • Fantozzi S; Department of Electric, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Italy.
  • Lin CC; Institute of Biomedical Engineering, National Taiwan University, Taiwan, ROC; Department of Electronic Engineering, Fu-Jen Catholic University, Taiwan, ROC.
  • Lu TW; Institute of Biomedical Engineering, National Taiwan University, Taiwan, ROC; Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taiwan, ROC.
  • Pandy MG; Department of Mechanical Engineering, University of Melbourne, Victoria, Australia.
  • Stagni R; Department of Electric, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Italy.
  • van den Bogert AJ; Department of Mechanical Engineering, Cleveland State University, Cleveland, OH, USA.
  • Camomilla V; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Rome "Foro Italico", Rome, Italy; Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
J Biomech ; 62: 5-13, 2017 09 06.
Article em En | MEDLINE | ID: mdl-28259462
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artefatos / Conjuntos de Dados como Assunto / Movimento (Física) / Movimento Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artefatos / Conjuntos de Dados como Assunto / Movimento (Física) / Movimento Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article