Evidence map›Paper›PMID 29123327›Full record

ArticleInternational journal of industrial ergonomics2017

A New Test Bench System for Hammer Drills: Validation for Handle Vibration.

David Rempel, Alan Barr, Andrea Antonucci

Open access · greenAbstract read
In one paragraph

Article in International journal of industrial ergonomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review.International journal of environmental research and public health · 2023
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

David RempelErgonomics Program, Department of Bioengineering, University of California, Berkeley, CA, USA.
Alan BarrErgonomics Program, Department of Bioengineering, University of California, Berkeley, CA, USA.
Andrea AntonucciErgonomics Program, Department of Bioengineering, University of California, Berkeley, CA, USA.
University of California, Berkeley · US

Funding

NATL CTR FOR CONSTRUCTION SAFETY & HEALTH RESEARCHU60OH009762 · OH · CENTER FOR CONSTRUCTION RES AND TRAINING · PI CAIN, CHRISTINA TRAHAN · 2009 to 2023
$84.6M
NIOSH CDC HHS U60 OH009762
6 · The paper itself

Abstract

Workers' can be exposed to high levels of hand vibration when drilling into concrete or rock using hammer drills; exposures that can cause hand arm vibration syndrome. Exposure levels may be reduced by different drill and bit designs and drilling methods, but these interventions have not been systematically evaluated. The purpose of this project was to develop a robotic test bench system for measuring handle vibration on drills in order to compare differences in drill designs, power sources, bit designs and drilling methods. The test bench is a departure from the ISO method for measuring drill handle vibration (ISO 28927-10), which requires drilling by humans. The test bench system was designed to repeatedly drill into concrete blocks under force control while productivity and handle vibration were measured. Handle vibration levels with different drills and bit sizes were similar to those collected following ISO methods. A new robotic test bench system for measuring handle vibration is presented and validated against ISO methods and demonstrates dynamic properties similar to human drilling.

Indexed as

Hand-Arm-Vibration SyndromeMusculoskeletal DisordersOccupational HealthTool DesignVibration

Identifiers

PMID29123327
PMCPMC5672946
OpenAlexW2513970999

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.