musculoskeletal disorders commonly experienced by dental professionals can affect their health and well-being. the main aim of this study was to determine the prevalence of musculoskeletal disorders among dentists in iran. a cross sectional study was carried out in rasht, northern iran. participants were dental workers who completed structured questionnaire on the topic of musculoskeletal disor...

Objectives: Work-related musculoskeletal disorders are a global problem which evolves at different workplaces such as industries, administrative, and agriculture sectors. In various studies, such disorders were assessed through multiple methods. It is necessary to evaluate different tools to use them in diverse communities. The aim of this study was to assess the validity of the new ergonomic e...

BACKGROUND Information technologies in occupational activities have been developing very rapid. Epidemiological studies have shown that musculoskeletal disorders are widely prevalent among employees working with a computer. The aim of this study was to evaluate the prevalence of musculoskeletal pain in various anatomical areas and its associations with individual, ergonomic, and psychosocial fa...

Objectives: The most common work-related diseases are musculoskeletal system disease. This study aims to determine the prevalence of disorders (WMSDs) in a high-hazard factory and sociodemographic, occupational, ergonomic risks. Methods: research is cross-sectional was conducted factory, Hatay, 2017. population all employees (N=190), it aimed reach whole population. Of (97.3%), 185 participated...

Abstract This paper introduces a web-platform system that performs semi-automatic compute of several risk indexes, based on the considered evaluation method (e.g., RULA—Rapid Upper Limb Assessment, REBA—Rapid Entire Body OCRA—OCcupational Repetitive Action) to support ergonomics estimation, and provides augmented analytics proactively improve ergonomic monitoring characteristics workers age, ge...

In this paper we evaluate a system based on the Microsoft Kinect™ sensor, aimed at automatic detection of risk postures during human work activities. We first introduce pick and place task, where three different lateral standing subjects move light cardboard boxes from various levels bookcase to its top, then putting them back their original places. They repeat task over several cycles capture ...