Literature DB >> 15676953

Postural stress analysis in industry.

A M Genaidy1, A A Al-Shedi, W Karwowski.   

Abstract

Both observational and instrumentation-based techniques have been used to conduct postural stress analysis in industry. As observational methods are more widespread than instrumentation-based techniques and can be used as a practical tool in the workplace, this study reviews and assesses the scientific literature on observational techniques. Techniques are classified into macropostural, micropostural and postural-work activity. The basis for each classification is outlined and evaluated. Postural recording is performed either continuously or intermittently. Intermittent postural recording procedures lack the criteria for determining the optimum number of observations for low and high repetitive jobs. Research is warranted to examine the sources and magnitudes of errors associated with postural classification. Such information is required to train job analysts in the ergonomics of working postures.

Year:  1994        PMID: 15676953     DOI: 10.1016/0003-6870(94)90068-x

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  5 in total

1.  Automated high-frequency posture sampling for ergonomic assessment of laparoscopic surgery.

Authors:  J G Person; A J Hodgson; A G Nagy
Journal:  Surg Endosc       Date:  2001-06-12       Impact factor: 4.584

2.  Evaluation of musculoskeletal workload of manual operating tasks using a hydraulic jack based on ergonomic postural analysis and electromyography: A case study of non-professional young male users.

Authors:  Atsushi Sugama; Takahiro Nishimura; Kouki Doi; Shigenobu Shimada; Manabu Chikai; Kiyohiko Nunokawa; Shuichi Ino
Journal:  Work       Date:  2022

Review 3.  Systematic Comparison of OWAS, RULA, and REBA Based on a Literature Review.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-01-05       Impact factor: 3.390

4.  Comparison of LEBA and RULA Based on Postural Load Criteria and Epidemiological Data on Musculoskeletal Disorders.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-03-26       Impact factor: 3.390

5.  A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model.

Authors:  Young-Jin Kwon; Do-Hyun Kim; Byung-Chang Son; Kyoung-Ho Choi; Sungbok Kwak; Taehong Kim
Journal:  Int J Environ Res Public Health       Date:  2022-08-09       Impact factor: 4.614

  5 in total

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