Literature DB >> 11534797

Assessment of work postures and movements using a video-based observation method and direct technical measurements.

B Juul-Kristensen1, G A Hansson, N Fallentin, J H Andersen, C Ekdahl.   

Abstract

The aim was to study postures and movements during repetitive work using video-based observations and direct technical measurements (inclinometers and goniometers). A total of 21 healthy women from a poultry processing plant volunteered. Neck flexion > 20 degrees was registered during 92% of the recorded time with the observation method, while the corresponding value measured with the inclinometer was 65%. Different reference positions and different measured variables apparently contributed to the differences between the methods. Mean wrist position was measured to be 0 degrees in flexion-extension and 19 degrees in ulnar deviation. Differences between the methods in the registered hand positions were small. The number of repetitive movements/minute and mean power frequency (MPF) of the electrogoniometer data was significantly related, showing both variables to be relevant measures of repetitiveness. In conclusion, the observation method and the technical measurements supplemented each other well. A reduction in class categories was suggested for future observation methods.

Entities:  

Mesh:

Year:  2001        PMID: 11534797     DOI: 10.1016/s0003-6870(01)00017-5

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


  14 in total

Review 1.  Working postures: a literature review.

Authors:  Edgar Ramos Vieira; Shrawan Kumar
Journal:  J Occup Rehabil       Date:  2004-06

2.  A new approach to assess movements and isometric postures of spine and trunk at the workplace.

Authors:  Max Wunderlich; Thomas Rüther; Dieter Essfeld; Thomas C Erren; Claus Piekarski; Dieter Leyk
Journal:  Eur Spine J       Date:  2011-03-29       Impact factor: 3.134

3.  A hand speed-duty cycle equation for estimating the ACGIH hand activity level rating.

Authors:  Oguz Akkas; David P Azari; Chia-Hsiung Eric Chen; Yu Hen Hu; Sheryl S Ulin; Thomas J Armstrong; David Rempel; Robert G Radwin
Journal:  Ergonomics       Date:  2014-10-24       Impact factor: 2.778

4.  Load Asymmetry Angle Estimation Using Multiple view Videos.

Authors:  Xuan Wang; Yu Hen Hu; Ming-Lun Lu; Robert G Radwin
Journal:  IEEE Trans Hum Mach Syst       Date:  2021-12       Impact factor: 4.124

5.  Automated video exposure assessment of repetitive hand activity level for a load transfer task.

Authors:  Chia-Hsiung Chen; Yu Hen Hu; Thomas Y Yen; Robert G Radwin
Journal:  Hum Factors       Date:  2013-04       Impact factor: 2.888

6.  A PRELIMINARY ASSESSMENT OF PHYSICAL WORK EXPOSURES AMONG ELECTRONIC WASTE WORKERS AT AGBOGBLOSHIE, ACCRA GHANA.

Authors:  Augustine A Acquah; Clive D'Souza; Bernard J Martin; John Arko-Mensah; Paul K Botwe; Prudence Tettey; Duah Dwomoh; Afua Amoabeng Nti; Lawrencia Kwarteng; Sylvia Takyi; Isabella A Quakyi; Thomas G Robins; Julius N Fobil
Journal:  Int J Ind Ergon       Date:  2021-02-23       Impact factor: 2.656

7.  Bias and imprecision in posture percentile variables estimated from short exposure samples.

Authors:  Svend Erik Mathiassen; Jens Wahlström; Mikael Forsman
Journal:  BMC Med Res Methodol       Date:  2012-03-25       Impact factor: 4.615

8.  Validity and reliability of triaxial accelerometers for inclinometry in posture analysis.

Authors:  G A Hansson; P Asterland; N G Holmer; S Skerfving
Journal:  Med Biol Eng Comput       Date:  2001-07       Impact factor: 3.079

Review 9.  A review of direct neck measurement in occupational settings.

Authors:  Letícia Carnaz; Mariana V Batistao; Helenice J C Gil Coury
Journal:  Sensors (Basel)       Date:  2010-12-03       Impact factor: 3.576

10.  Relationships between craniocervical posture and pain-related disability in patients with cervico-craniofacial pain.

Authors:  Ibai López-de-Uralde-Villanueva; Hector Beltran-Alacreu; Alba Paris-Alemany; Santiago Angulo-Díaz-Parreño; Roy La Touche
Journal:  J Pain Res       Date:  2015-07-30       Impact factor: 3.133

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