Evidence map›Paper›PMID 34524105›Full record

ArticleJMIR mHealth and uHealth2021

Psychological Effects of Heart Rate and Physical Vibration on the Operation of Construction Machines: Experimental Study.

Nobuki Hashiguchi, Jianfei Cao, Yeongjoo Lim, Shinichi Kuroishi, Yasuhiro Miyazaki, Shigeo Kitahara, Shintaro Sengoku, Katsushi Matsubayashi, Kota Kodama

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. 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
–field-weighted citation impact
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.

  1. Article
  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

9 authors.

Nobuki Hashiguchi *Graduate School of Technology Management, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0001-5650-7968
Jianfei CaoGraduate School of Technology Management, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0001-9452-2990
Yeongjoo LimFaculty of Business Administration, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0003-2740-5537
Shinichi KuroishiMetropolitan Area Branch Civil Engineering Department, Kumagai Gumi Co, Ltd, Shinjuku-ku, Japan.ORCID 0000-0002-8537-3599
Yasuhiro MiyazakiCivil Engineering Business Headquarters, Kumagai Gumi Co, Ltd, Shinjuku-ku, Japan.ORCID 0000-0002-5012-922X
Shigeo KitaharaCivil Engineering Business Headquarters, Kumagai Gumi Co, Ltd, Shinjuku-ku, Japan.ORCID 0000-0002-4633-2102
Shintaro SengokuSchool of Environment and Society, Tokyo Institute of Technology, Minato-ku, Japan.ORCID 0000-0001-8008-3667
Katsushi MatsubayashiNational Institute of Technology, Tokyo College, Tokyo, Japan.ORCID 0000-0001-8967-6944
Kota KodamaGraduate School of Technology Management, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0002-2360-2034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA construction method has emerged in which a camera is installed around a construction machine, and the operator remotely controls the machine while synchronizing the vibration of the machine with the images seen from the operator's seat using virtual reality (VR) technology. Indices related to changes in heart rate (HR) and physical vibration, such as heart rate variability (HRV) and multiscale entropy (MSE), can then be measured among the operators. As these indices are quantitative measures of autonomic regulation in the cardiovascular system, they can provide a useful means of assessing operational stress.

objectiveIn this study, we aimed to evaluate changes in HR and body vibration of machine operators and investigate appropriate methods of machine operation while considering the psychological load.

methodsWe enrolled 9 remote operators (18-50 years old) in the experiment, which involved 42 measurements. A construction machine was driven on a test course simulating a construction site, and three patterns of operation-riding operation, remote operation using monitor images, and VR operation combining monitor images and machine vibration-were compared. The heartbeat, body vibration, and driving time of the participants were measured using sensing wear made of a woven film-like conductive material and a three-axis acceleration measurement device (WHS-2). We used HRV analysis in the time and frequency domains, MSE analysis as a measure of the complexity of heart rate changes, and the ISO (International Standards Organization) 2631 vibration index. Multiple regression analysis was conducted to model the relationship among the low frequency (LF)/high frequency (HF) HRV, MSE, vibration index, and driving time of construction equipment. Efficiency in driving time was investigated with a focus on stress reduction.

resultsMultiple comparisons conducted via the Bonferroni test and Kruskal-Wallis test showed statistically significant differences (P=.05) in HRV-LF/HF, the vibration index, weighted acceleration, motion sickness dose value (MSDV

conclusionsA new method was developed to calculate the appropriate operating time by considering operational stress and suppressing the physical vibration within an acceptable range. By focusing on the relationship between psychological load and physical vibration, which has not been explored in previous studies, the relationship of these variables with the driving time of construction machines was clarified.

Indexed as

Automobile DrivingVibrationAdolescentAdultHeart RateHumansMiddle AgedMonitoring, PhysiologicYoung Adultcomplexityheart rate variabilitymonitoringremote operationstressvibration at workvital signswearable technology

Identifiers

PMID34524105
PMCPMC8482169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.