Experimental validation of a subject-specific maximum endurance time model

This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each parti...

Full description

Saved in:
Bibliographic Details
Published inErgonomics Vol. 61; no. 6; pp. 806 - 817
Main Authors Liu, Bin, Ma, Liang, Chen, Chi, Zhang, Zhanwu
Format Journal Article
LanguageEnglish
Published England Taylor & Francis LLC 01.06.2018
Subjects
Online AccessGet full text

Cover

Loading…
Abstract This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R  > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min , SD = 0.29 min ). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population. Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers.
AbstractList This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R  > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min , SD = 0.29 min ). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population. Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers.
This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population. Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers.This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population. Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers.
This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population.Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers.
Author Zhang, Zhanwu
Liu, Bin
Ma, Liang
Chen, Chi
Author_xml – sequence: 1
  givenname: Bin
  surname: Liu
  fullname: Liu, Bin
  organization: Department of Industrial Engineering, Tsinghua University, Beijing, China
– sequence: 2
  givenname: Liang
  orcidid: 0000-0002-9422-814X
  surname: Ma
  fullname: Ma, Liang
  organization: Department of Industrial Engineering, Tsinghua University, Beijing, China
– sequence: 3
  givenname: Chi
  surname: Chen
  fullname: Chen, Chi
  organization: Department of Industrial Engineering, Tsinghua University, Beijing, China
– sequence: 4
  givenname: Zhanwu
  surname: Zhang
  fullname: Zhang, Zhanwu
  organization: Hon Hai Precision Industry (Zhengzhou) Co Ltd, Zhengzhou, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29224501$$D View this record in MEDLINE/PubMed
BookMark eNp9kclOwzAQhi1URBd4BFAkLlxSPF6yiBOqyqZKXOBsOfZEcpWNOEHl7Uloe-mBkzXS981Y_z8nk6qukJBroEugCb2nFAQFni4ZhXgJAiJI6BmZAY-iUCYinpDZyIQjNCVz77fDyCFlF2TKUsaEpDAjb-tdg60rsep0EXzrwlnduboK6jzQge-zLZou9A0alzsTlHrnyr4MsLJ9qyuDQTe4QVlbLC7Jea4Lj1eHd0E-n9Yfq5dw8_78unrchIbzuAsNk9bE0uoMbGwTkBQls1KIiAoEI3IUSZYKbgSXCUQmzhKMc-A6kpG1KeULcrff27T1V4--U6XzBotCV1j3XkEaS5kKKdmA3p6g27pvq-F3ilEmqGAiGambA9VnJVrVDHno9kcdUxqAhz1g2tr7FnNlXPcXU9dqVyigauxEHTtRYyfq0MlgyxP7eOB_7xeFKIx1
CitedBy_id crossref_primary_10_1002_hfm_20760
crossref_primary_10_1007_s10270_023_01125_1
crossref_primary_10_3390_ijerph16071296
crossref_primary_10_3233_WOR_213597
crossref_primary_10_1371_journal_pone_0207283
crossref_primary_10_3390_ijerph19020930
crossref_primary_10_1016_j_autcon_2022_104501
crossref_primary_10_1016_j_ijpe_2024_109513
crossref_primary_10_3389_fphys_2024_1347319
crossref_primary_10_1080_00207543_2021_2015081
crossref_primary_10_3390_ijerph192215159
crossref_primary_10_1016_j_ress_2022_108324
crossref_primary_10_1002_hfm_20945
crossref_primary_10_1109_MIS_2022_3215698
crossref_primary_10_1080_00207543_2022_2153185
crossref_primary_10_1002_hfm_20865
crossref_primary_10_1016_j_robot_2023_104387
Cites_doi 10.1016/j.ergon.2008.05.003
10.1080/00140139.2013.851283
10.1080/001401300184495
10.1080/10803548.2015.1017961
10.1016/S0169-8141(98)00039-0
10.1097/00042752-200305000-00006
10.1016/j.jbiomech.2008.07.013
10.1201/b12565-23
10.1016/j.jbiomech.2012.04.018
10.1080/00140130903389068
10.1152/jappl.1981.51.1.1
10.1177/0018720817695194
10.1080/00140139408963641
10.1080/00140138608967237
10.1080/00140130701674430
10.1016/0003-6870(73)90166-X
10.1016/j.ergon.2010.11.005
10.1007/s13679-014-0105-z
10.1152/japplphysiol.00893.2003
10.1016/j.jbiomech.2011.02.016
10.1016/j.jelekin.2013.06.005
10.1080/00140139408963690
10.1152/jappl.2001.91.6.2686
10.1016/S0006-3495(02)75580-X
10.1097/JES.0b013e3181aa63e2
10.1111/aot.2011.58.issue-2
10.1080/00140139.2014.952347
10.1016/j.ergon.2012.08.006
10.1016/S0165-0270(97)02251-6
10.1016/j.ergon.2005.08.003
10.1016/j.ergon.2011.10.004
10.1080/00140130802479812
10.1016/j.ergon.2008.04.004
10.1016/j.apergo.2014.07.007
10.1002/(ISSN)1097-4598
10.1080/15459624.2017.1334902
10.1002/mus.v48.3
ContentType Journal Article
Copyright 2017 Informa UK Limited, trading as Taylor & Francis Group
Copyright_xml – notice: 2017 Informa UK Limited, trading as Taylor & Francis Group
DBID AAYXX
CITATION
NPM
7QF
7QQ
7SC
7SE
7SP
7SR
7T2
7TA
7TB
7TS
7U5
8BQ
8FD
C1K
F28
FR3
H8D
H8G
JG9
JQ2
KR7
L7M
L~C
L~D
NAPCQ
7X8
DOI 10.1080/00140139.2017.1416180
DatabaseName CrossRef
PubMed
Aluminium Industry Abstracts
Ceramic Abstracts
Computer and Information Systems Abstracts
Corrosion Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
Health and Safety Science Abstracts (Full archive)
Materials Business File
Mechanical & Transportation Engineering Abstracts
Physical Education Index
Solid State and Superconductivity Abstracts
METADEX
Technology Research Database
Environmental Sciences and Pollution Management
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Aerospace Database
Copper Technical Reference Library
Materials Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Nursing & Allied Health Premium
MEDLINE - Academic
DatabaseTitle CrossRef
PubMed
Materials Research Database
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Materials Business File
Physical Education Index
Environmental Sciences and Pollution Management
Aerospace Database
Copper Technical Reference Library
Engineered Materials Abstracts
Health & Safety Science Abstracts
Advanced Technologies Database with Aerospace
ANTE: Abstracts in New Technology & Engineering
Civil Engineering Abstracts
Aluminium Industry Abstracts
Electronics & Communications Abstracts
Ceramic Abstracts
METADEX
Computer and Information Systems Abstracts Professional
Nursing & Allied Health Premium
Solid State and Superconductivity Abstracts
Engineering Research Database
Corrosion Abstracts
MEDLINE - Academic
DatabaseTitleList PubMed
MEDLINE - Academic
Materials Research Database
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Psychology
EISSN 1366-5847
EndPage 817
ExternalDocumentID 29224501
10_1080_00140139_2017_1416180
Genre Journal Article
GroupedDBID ---
-~X
.7F
.DC
.QJ
0BK
0R~
29G
2DF
30N
36B
4.4
5GY
5VS
6PF
85S
8VB
AAENE
AAGDL
AAHIA
AAIKC
AAJMT
AALDU
AAMIU
AAMNW
AAPUL
AAQRR
AAWTL
AAYXX
ABCCY
ABFIM
ABHAV
ABIVO
ABJNI
ABLIJ
ABPAQ
ABPEM
ABPPZ
ABXUL
ABXYU
ACGEJ
ACGFS
ACGOD
ACHQT
ACIWK
ACPRK
ACTIO
ADCVX
ADGTB
ADMHG
ADXPE
ADYSH
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFKVX
AFRAH
AFRVT
AGDLA
AGMYJ
AHDZW
AIJEM
AIYEW
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AMPGV
AQRUH
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CITATION
CS3
DGEBU
DKSSO
DU5
EBS
ECV
EJD
E~A
E~B
F5P
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
ITG
ITH
J.P
KYCEM
M4Z
NA5
NX~
O9-
PQQKQ
QWB
RIG
RNANH
ROSJB
RTWRZ
RXW
S-T
SNACF
TAE
TBQAZ
TDBHL
TEN
TFL
TFT
TFW
TH9
TN5
TNC
TTHFI
TUROJ
TWF
UPT
UT5
UU3
WH7
ZGOLN
ZL0
~02
~S~
.GJ
07I
1TA
3EH
4B5
4R4
53G
ABDPE
ACKIV
ACTTO
ADUMR
ADXEU
AEHZU
AEZBV
AFBWG
AFION
AFSUE
AGBLW
AGVKY
AGWUF
AKHJE
AKMBP
ALRRR
ALXIB
BGSSV
BKOMP
BWMZZ
C0-
C5H
CAG
COF
CYRSC
DAOYK
DEXXA
FETWF
H~9
IFELN
L8C
LJTGL
LPU
NPM
NUSFT
OHT
OPCYK
P0-
T9H
TAJZE
TAP
UB6
VXZ
YCJ
Z5M
ZGI
7QF
7QQ
7SC
7SE
7SP
7SR
7T2
7TA
7TB
7TS
7U5
8BQ
8FD
C1K
F28
FR3
H8D
H8G
JG9
JQ2
KR7
L7M
L~C
L~D
NAPCQ
OZ-
TASJS
7X8
ID FETCH-LOGICAL-c337t-c25dc75dab1d7d8150e52d544604e1c4fe48b943c435816c7b8e7f13a656dd903
ISSN 0014-0139
1366-5847
IngestDate Wed Jul 30 11:06:41 EDT 2025
Wed Aug 13 04:01:44 EDT 2025
Wed Feb 19 02:44:10 EST 2025
Thu Apr 24 22:53:51 EDT 2025
Tue Jul 01 02:54:30 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 6
Keywords fatigability
elbow flexion
Maximum endurance time (MET)
Subject-specific MET model
physical fatigue
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c337t-c25dc75dab1d7d8150e52d544604e1c4fe48b943c435816c7b8e7f13a656dd903
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Undefined-3
ORCID 0000-0002-9422-814X
PMID 29224501
PQID 2024042482
PQPubID 33733
PageCount 12
ParticipantIDs proquest_miscellaneous_1975594552
proquest_journals_2024042482
pubmed_primary_29224501
crossref_citationtrail_10_1080_00140139_2017_1416180
crossref_primary_10_1080_00140139_2017_1416180
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2018-Jun
PublicationDateYYYYMMDD 2018-06-01
PublicationDate_xml – month: 06
  year: 2018
  text: 2018-Jun
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle Ergonomics
PublicationTitleAlternate Ergonomics
PublicationYear 2018
Publisher Taylor & Francis LLC
Publisher_xml – name: Taylor & Francis LLC
References CIT0010
CIT0031
CIT0012
CIT0034
CIT0011
CIT0033
Hagberg M. (CIT0016) 1987; 44
CIT0036
CIT0013
CIT0038
Chaffin Don B. (CIT0004) 2006
CIT0015
CIT0037
CIT0018
CIT0017
Garg Arun (CIT0014) 1991; 17
CIT0019
Manenica I. (CIT0025) 1986
CIT0040
CIT0021
CIT0020
CIT0042
CIT0023
Rohmert W. (CIT0032) 1960; 18
CIT0045
De Sapio V. (CIT0006) 2016
CIT0022
CIT0044
R Core Team (CIT0030) 2016
Shaw L. (CIT0041) 2008; 30
Srinivasan Divya (CIT0043) 2016
Borg Gunnar (CIT0001) 1982
Sato Haruhiko (CIT0039) 1984; 13
CIT0003
CIT0047
CIT0002
CIT0024
CIT0046
CIT0005
CIT0027
Rose L. (CIT0035) 1992
CIT0026
CIT0048
CIT0007
CIT0029
CIT0028
CIT0009
CIT0008
References_xml – volume-title: R: A Language and Environment for Statistical Computing
  year: 2016
  ident: CIT0030
– ident: CIT0046
  doi: 10.1016/j.ergon.2008.05.003
– ident: CIT0023
  doi: 10.1080/00140139.2013.851283
– ident: CIT0036
  doi: 10.1080/001401300184495
– ident: CIT0024
  doi: 10.1080/10803548.2015.1017961
– start-page: 461
  year: 1992
  ident: CIT0035
  publication-title: Computer Applications in Ergonomics, Occupational Safety and Health,
– ident: CIT0010
  doi: 10.1016/S0169-8141(98)00039-0
– ident: CIT0038
  doi: 10.1097/00042752-200305000-00006
– ident: CIT0045
  doi: 10.1016/j.jbiomech.2008.07.013
– volume: 17
  start-page: 143
  issue: 3
  year: 1991
  ident: CIT0014
  publication-title: Experimental Aging Research
– start-page: 270
  volume-title: The Ergonomics of Working Postures
  year: 1986
  ident: CIT0025
  doi: 10.1201/b12565-23
– ident: CIT0013
  doi: 10.1016/j.jbiomech.2012.04.018
– volume: 13
  start-page: 147
  issue: 2
  year: 1984
  ident: CIT0039
  publication-title: Journal of Human Ergology
– ident: CIT0012
  doi: 10.1080/00140130903389068
– ident: CIT0015
  doi: 10.1152/jappl.1981.51.1.1
– ident: CIT0027
  doi: 10.1177/0018720817695194
– ident: CIT0007
  doi: 10.1080/00140139408963641
– ident: CIT0034
  doi: 10.1080/00140138608967237
– ident: CIT0005
  doi: 10.1080/00140130701674430
– ident: CIT0033
  doi: 10.1016/0003-6870(73)90166-X
– start-page: 25
  volume-title: Psychophysical Judgement and the Process of Perception
  year: 1982
  ident: CIT0001
– volume-title: Occupational Biomechanics
  year: 2006
  ident: CIT0004
– volume: 18
  start-page: 123
  issue: 2
  year: 1960
  ident: CIT0032
  publication-title: [Determination of recovery breaks for static work of humans.]
– start-page: 1
  year: 2016
  ident: CIT0043
  publication-title: European Journal of Applied Physiology
– ident: CIT0022
  doi: 10.1016/j.ergon.2010.11.005
– ident: CIT0002
  doi: 10.1007/s13679-014-0105-z
– ident: CIT0018
  doi: 10.1152/japplphysiol.00893.2003
– volume: 30
  start-page: 267
  issue: 3
  year: 2008
  ident: CIT0041
  publication-title: Work
– ident: CIT0029
  doi: 10.1016/j.jbiomech.2011.02.016
– ident: CIT0011
  doi: 10.1016/j.jelekin.2013.06.005
– ident: CIT0008
  doi: 10.1080/00140139408963690
– volume: 44
  start-page: 602
  issue: 9
  year: 1987
  ident: CIT0016
  publication-title: British Journal of Industrial Medicine
– ident: CIT0019
  doi: 10.1152/jappl.2001.91.6.2686
– ident: CIT0020
  doi: 10.1016/S0006-3495(02)75580-X
– ident: CIT0017
  doi: 10.1097/JES.0b013e3181aa63e2
– ident: CIT0031
  doi: 10.1111/aot.2011.58.issue-2
– ident: CIT0037
  doi: 10.1080/00140139.2014.952347
– ident: CIT0048
  doi: 10.1016/j.ergon.2012.08.006
– ident: CIT0044
  doi: 10.1016/S0165-0270(97)02251-6
– ident: CIT0009
  doi: 10.1016/j.ergon.2005.08.003
– start-page: 1
  volume-title: Aerospace Conference, 2016 IEEE
  year: 2016
  ident: CIT0006
– ident: CIT0042
  doi: 10.1016/j.ergon.2011.10.004
– ident: CIT0003
  doi: 10.1080/00140130802479812
– ident: CIT0021
  doi: 10.1016/j.ergon.2008.04.004
– ident: CIT0026
  doi: 10.1016/j.apergo.2014.07.007
– ident: CIT0047
  doi: 10.1002/(ISSN)1097-4598
– ident: CIT0028
  doi: 10.1080/15459624.2017.1334902
– ident: CIT0040
  doi: 10.1002/mus.v48.3
SSID ssj0013192
Score 2.3241255
Snippet This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age:...
SourceID proquest
pubmed
crossref
SourceType Aggregation Database
Index Database
Enrichment Source
StartPage 806
SubjectTerms Contraction
Design
Elbow
Elbow (anatomy)
Exhaustion
Fatigue
Fatigue tests
Isometric
Mathematical models
Workers
Title Experimental validation of a subject-specific maximum endurance time model
URI https://www.ncbi.nlm.nih.gov/pubmed/29224501
https://www.proquest.com/docview/2024042482
https://www.proquest.com/docview/1975594552
Volume 61
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELZK97IcECyvwoKMxK1KFSd2nBxXsKhasZx2xYpL5FdQJJqithGPX884dpzsg8dyiSI3maadL-MZz8xnhF5LqhTRJo50JmVk-UmiQiUQteqKV4qSgkmb0T39kC3P6ckFu5hMqlHVUruTC_Xzxr6S_9EqjIFebZfsLTQbhMIAnIN-4QgahuM_6fh4TM8PgmsdHEAx37bSrrFEtpfS1gPNV-J7vWpXc9PodtN1CtiN5d1eOJcW6DefXbNycLff122Hgzog6VS4gF74ia8rEDA-gV9fW422J9_a8QoDyYdKqN5qElup4kiHFsYZyjTLIptiHVvSjIwQMzaLeZyNZ1jXrXnNePfVjl3MZ5uICAdDbhn942G26jP0VyaxUFpIAuepE1NaMaUXcwftJRBOJFO0d7R8--njkG8iheOV97-07_WyLOw3Pc9lL-Y3oUnnopzdR_d8bIGPHFAeoIlpDtDdEePkAdoPE96Ph-hkjB884AevKyzwVfxgjx8c8IMtfnCHn0fo_N3x2Ztl5PfWiFSa8l2kEqYVZ1pIornOISwwLNGM0iymhihaGZrLgqaKWoK8THGZG16RVID_r3URp4_RtFk35inCuUwoDMdcpgKcc5WziudCgxAqFS_0DNH-vyqVJ563-598Kf-oqxlahNu-OuaVv91w2Cui9C_pFi4Al5UmNE9m6FX4GEyozYuJxqzbbUkKDnE1ZQyueeIUGL4xKcDHZTF5dtuneY72h3fpEE13m9a8AP91J1968P0CGi6PCg
linkProvider Library Specific Holdings
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Experimental+validation+of+a+subject-specific+maximum+endurance+time+model&rft.jtitle=Ergonomics&rft.au=Liu%2C+Bin&rft.au=Ma%2C+Liang&rft.au=Chen%2C+Chi&rft.au=Zhang%2C+Zhanwu&rft.date=2018-06-01&rft.issn=0014-0139&rft.eissn=1366-5847&rft.volume=61&rft.issue=6&rft.spage=806&rft.epage=817&rft_id=info:doi/10.1080%2F00140139.2017.1416180&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_00140139_2017_1416180
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0014-0139&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0014-0139&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0014-0139&client=summon