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Combining Ergonomic Risk Assessment (RULA) with Inertial Motion Capture Technology in Dentistry-Using the Benefits from Two Worlds.
Maurer-Grubinger, Christian; Holzgreve, Fabian; Fraeulin, Laura; Betz, Werner; Erbe, Christina; Brueggmann, Doerthe; Wanke, Eileen M; Nienhaus, Albert; Groneberg, David A; Ohlendorf, Daniela.
Afiliação
  • Maurer-Grubinger C; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Holzgreve F; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Fraeulin L; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Betz W; Institute of Dentistry, Department of Dental Radiology, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Erbe C; Department of Orthodontics, Medical Center of the Johannes Gutenberg-University Mainz, 55128 Mainz, Germany.
  • Brueggmann D; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Wanke EM; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Nienhaus A; Principles of Prevention and Rehabilitation Department (GPR), Institute for Statutory Accident Insurance and Prevention in the Health and Welfare Services (BGW), 20246 Hamburg, Germany.
  • Groneberg DA; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
  • Ohlendorf D; Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, 60323 Frankfurt am Main, Germany.
Sensors (Basel) ; 21(12)2021 Jun 13.
Article em En | MEDLINE | ID: mdl-34199273
ABSTRACT
Traditional ergonomic risk assessment tools such as the Rapid Upper Limb Assessment (RULA) are often not sensitive enough to evaluate well-optimized work routines. An implementation of kinematic data captured by inertial sensors is applied to compare two work routines in dentistry. The surgical dental treatment was performed in two different conditions, which were recorded by means of inertial sensors (Xsens MVN Link). For this purpose, 15 (12 males/3 females) oral and maxillofacial surgeons took part in the study. Data were post processed with costume written MATLAB® routines, including a full implementation of RULA (slightly adjusted to dentistry). For an in-depth comparison, five newly introduced levels of complexity of the RULA analysis were applied, i.e., from lowest complexity to highest (1) RULA score, (2) relative RULA score distribution, (3) RULA steps score, (4) relative RULA steps score occurrence, and (5) relative angle distribution. With increasing complexity, the number of variables times (the number of resolvable units per variable) increased. In our example, only significant differences between the treatment concepts were observed at levels that are more complex the relative RULA step score occurrence and the relative angle distribution (level 4 + 5). With the presented approach, an objective and detailed ergonomic analysis is possible. The data-driven approach adds significant additional context to the RULA score evaluation. The presented method captures data, evaluates the full task cycle, and allows different levels of analysis. These points are a clear benefit to a standard, manual assessment of one main body position during a working task.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Musculoesqueléticas / Doenças Profissionais Tipo de estudo: Etiology_studies / Guideline / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Musculoesqueléticas / Doenças Profissionais Tipo de estudo: Etiology_studies / Guideline / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article