Association between perceived fatigue and gait parameters measured by an instrumented treadmill in people with multiple sclerosis: a cross-sectional study

Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its...

Full description

Saved in:
Bibliographic Details
Published inJournal of neuroengineering and rehabilitation Vol. 12; no. 1; p. 34
Main Author Kalron, Alon
Format Journal Article
LanguageEnglish
Published London BioMed Central 02.04.2015
BioMed Central Ltd
Subjects
Online AccessGet full text
ISSN1743-0003
1743-0003
DOI10.1186/s12984-015-0028-2

Cover

Abstract Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill. Methods One hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued. Results Forty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, χ 2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, χ 2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation. Conclusions Perceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.
AbstractList Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill. Methods One hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued. Results Forty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, χ 2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, χ 2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation. Conclusions Perceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.
Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill. One hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued. Forty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, χ2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, χ2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation. Perceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.
Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill. Methods One hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued. Results Forty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, [chl]2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, [chl]2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation. Conclusions Perceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited. Keywords: Multiple Sclerosis, Gait, Fatigue, Treadmill
BACKGROUNDMultiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill.METHODSOne hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued.RESULTSForty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, χ2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, χ2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation.CONCLUSIONSPerceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.
Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic fatigue is quite common in people with MS (PwMS), with prevalence as high as 85%. Nevertheless, it remains poorly understood and its association with walking capabilities unclear. Therefore, the objective of this investigation was to examine the relationship between symptomatic fatigue and spatio-temporal parameters of gait in PwMS based on an instrumented treadmill. One hundred and twenty-four relapsing-remitting patients diagnosed with MS, 84 women and 40 men aged 42.6 (S.D = 11.9), participated in this investigation. A convenience sample of 25 apparently healthy subjects, 15 women and 10 men aged 40.3 (S.D = 11.1), served as controls. Gait spatiotemporal parameters were obtained using the Zebris FDM-T Treadmill (Zebris1 Medical GmbH, Germany). The Modified Fatigue Impact Scale (MFIS), a self-reported questionnaire, was used to determine the level of symptomatic fatigue in the MS study group. PwMS were divided into two groups: fatigued and non-fatigued. Forty-four PwMS were classified as suffering from fatigue (mean MFIS = 52.0, S.D = 13.7); 80 were classified as non-fatigued (mean MFIS = 14.5, S.D = 14.5). Individuals in the fatigued group walked slower than those in the non-fatigued group; 1.7 (S.D = 2.4) vs. 2.4 (S.D = 1.0); P < 0.001, respectively. Moreover, fatigued patients took smaller steps, had a shorter stride length, prolonged stance, double support phase and a shorter single support phase compared to the non-fatigued group. In the total group, fatigue was significantly correlated with 10 (out of 14) spatiotemporal parameters of gait, however, correlation scores <0.40 were considered as weak correlations. According to step one of the linear logistic regression analysis, the temporal gait component was found to explain 5.1% of the variance related to symptomatic fatigue, R2 = 0.051, [chl]2 (1) = 6.511, P = 0.011. Step two of the model added the gait spatial component, thus increasing the explaining variance to 9.3%; R2 = 0.093, [chl]2 (2) = 12.12, P = 0.002. The asymmetry gait parameter did not contribute to the equation. Perceived fatigue is related to walking speed in PwMS, nevertheless its contribution to level of fatigue is limited.
ArticleNumber 34
Audience Academic
Author Kalron, Alon
Author_xml – sequence: 1
  givenname: Alon
  surname: Kalron
  fullname: Kalron, Alon
  email: alkalron@gmail.com
  organization: Department of Physical Therapy, Sackler Faculty of Medicine, Tel-Aviv University, Multiple Sclerosis Center, Sheba Medical Center
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25885551$$D View this record in MEDLINE/PubMed
BookMark eNp9Uk1vFSEUnZga-6E_wI0hceNmKjAwj3Fh8tLYatLEja4Jw9x5pWHgCUyb91f8td7pq01rTMOC-3HO4QLnuDoIMUBVvWX0lDHVfsyMd0rUlMmaUq5q_qI6YivRYEabg0fxYXWc8zUGgkrxqjrkUikpJTuqfq9zjtaZ4mIgPZRbgEC2kCy4GxjIiI3NDMSEgWyMK2RrkpmgQMpkApPnhKB-h33iQi5pniAULJUEZpic91hGubj1QG5duSLT7Itbsmw9pJhd_kQMsRjlOoNdxjCe5DIPu9fVy9H4DG_u95Pq5_mXH2df68vvF9_O1pe1lbQr9aAMHwWzhhoD0Iym74FTCm2nZD8KQemqFf1gJD5VZ8dOCNErDkKNfcN6u2pOqs973e3cTzBYvEEyXm-Tm0za6WicftoJ7kpv4o1G7UY1i8CHe4EUf82Qi55ctuC9CRDnrNmKs0a0rG0R-n4P3RgP2oUxoqJd4HotBZNcMdYh6vQ_KFwDTM6iB0aH9SeEd4-v8DD7339GANsD7l46wfgAYVQvXtJ7L2n0kl68pDlyVv9wrCt3RsFpnH-WyffMjKeEDSR9HeeEH5ufIf0B01vhfg
CitedBy_id crossref_primary_10_1016_j_bbr_2024_115191
crossref_primary_10_1111_ene_14866
crossref_primary_10_1016_j_msard_2022_104479
crossref_primary_10_1016_j_soard_2016_03_029
crossref_primary_10_1016_j_apmr_2020_12_013
crossref_primary_10_1186_s12984_020_00798_9
crossref_primary_10_1177_15459683211005028
crossref_primary_10_3389_fneur_2016_00194
crossref_primary_10_1016_j_jns_2018_02_026
crossref_primary_10_3138_ptc_2016_19
crossref_primary_10_3390_metabo14080424
crossref_primary_10_1097_JNN_0000000000000299
crossref_primary_10_3390_biology10111083
crossref_primary_10_1109_TNSRE_2018_2881324
crossref_primary_10_15171_jcs_2016_034
crossref_primary_10_1016_j_gaitpost_2021_09_113
crossref_primary_10_1080_19390211_2019_1651435
crossref_primary_10_1177_13524585251316242
crossref_primary_10_3389_fneur_2021_821640
crossref_primary_10_1016_j_msard_2017_10_012
crossref_primary_10_1142_S1013702523500129
crossref_primary_10_3390_s20185063
crossref_primary_10_1002_pri_1741
crossref_primary_10_1097_MD_0000000000024931
crossref_primary_10_1007_s00415_024_12339_8
crossref_primary_10_3390_diagnostics11040584
crossref_primary_10_3390_sym13040598
crossref_primary_10_3109_17483107_2015_1136702
Cites_doi 10.1016/j.gaitpost.2012.10.015
10.1007/s00415-005-0641-2
10.1007/s00415-010-5742-x
10.1191/1352458505ms1117oa
10.1212/WNL.46.3.632
10.1002/ana.22366
10.1016/j.gaitpost.2008.07.011
10.1093/brain/124.5.962
10.3109/09638288.2012.738760
10.1191/1352458502ms839oa
10.1016/S0022-3999(98)00004-X
10.1016/j.apmr.2011.05.017
10.1186/s12883-014-0241-9
10.1097/PSY.0b013e31829b4525
10.1007/s12325-009-0082-x
10.1016/j.gaitpost.2010.09.002
10.1177/1073858403009003012
10.1177/0269215508095087
10.1517/14656566.2012.647767
10.1177/1545968311416991
10.1006/nimg.2001.1011
10.1177/1352458509105383
10.1155/2013/867575
10.1371/journal.pone.0107620
10.1007/s10865-010-9266-8
10.1093/sleep/33.8.1061
10.1177/1352458505070609
10.1093/brain/120.2.299
10.1136/jnnp.72.3.361
10.1177/1352458512461390
10.1001/archneurol.2010.48
10.1007/s00415-010-5821-z
10.1191/1352458505ms1148oa
10.1212/WNL.48.6.1566
10.1007/s004150170222
10.1177/1545968312437943
10.1016/j.apmr.2011.12.013
10.1016/j.gaitpost.2012.04.003
ContentType Journal Article
Copyright Kalron; licensee BioMed Central. 2015
COPYRIGHT 2015 BioMed Central Ltd.
Copyright_xml – notice: Kalron; licensee BioMed Central. 2015
– notice: COPYRIGHT 2015 BioMed Central Ltd.
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1186/s12984-015-0028-2
DatabaseName Springer Nature Link OA Free Journals
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList
MEDLINE

MEDLINE - Academic

Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  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
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Engineering
Occupational Therapy & Rehabilitation
Physical Therapy
EISSN 1743-0003
EndPage 34
ExternalDocumentID PMC4403837
A541528119
25885551
10_1186_s12984_015_0028_2
Genre Journal Article
GroupedDBID ---
0R~
29L
2QV
2WC
4.4
53G
5GY
5VS
7RV
7X7
88E
8FE
8FG
8FH
8FI
8FJ
AAFWJ
AAJSJ
AASML
AAWTL
ABDBF
ABJCF
ABUWG
ACGFO
ACGFS
ACIWK
ACPRK
ACUHS
ADBBV
ADRAZ
ADUKV
AENEX
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHSBF
AHYZX
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
AQUVI
BAPOH
BAWUL
BBNVY
BCNDV
BENPR
BFQNJ
BGLVJ
BHPHI
BMC
BPHCQ
BVXVI
C6C
CCPQU
CS3
DIK
DU5
E3Z
EBD
EBLON
EBS
EJD
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
H13
HCIFZ
HMCUK
HYE
I-F
IAO
IHR
INH
INR
IPY
ITC
KQ8
L6V
LK8
M0T
M1P
M48
M7P
M7S
ML0
M~E
NAPCQ
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PJZUB
PPXIY
PQGLB
PQQKQ
PROAC
PSQYO
PTHSS
PUEGO
RBZ
RNS
ROL
RPM
RSV
SBL
SOJ
TR2
TUS
UKHRP
WOQ
WOW
XSB
~8M
AAYXX
ALIPV
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
PMFND
7X8
5PM
ID FETCH-LOGICAL-c509t-d8a2f41ca0aaee3fabbe200e6985bf4400764bda59849cf9444b82e48fb31bc73
IEDL.DBID M48
ISSN 1743-0003
IngestDate Thu Aug 21 14:02:56 EDT 2025
Thu Sep 04 22:07:51 EDT 2025
Tue Jun 17 22:07:12 EDT 2025
Tue Jun 10 21:10:18 EDT 2025
Mon Jul 21 06:05:28 EDT 2025
Thu Apr 24 22:53:30 EDT 2025
Tue Jul 01 02:19:54 EDT 2025
Sat Sep 06 07:18:56 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Multiple Sclerosis
Fatigue
Gait
Treadmill
Language English
License This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c509t-d8a2f41ca0aaee3fabbe200e6985bf4400764bda59849cf9444b82e48fb31bc73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12984-015-0028-2
PMID 25885551
PQID 1721346166
PQPubID 23479
PageCount 1
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_4403837
proquest_miscellaneous_1721346166
gale_infotracmisc_A541528119
gale_infotracacademiconefile_A541528119
pubmed_primary_25885551
crossref_primary_10_1186_s12984_015_0028_2
crossref_citationtrail_10_1186_s12984_015_0028_2
springer_journals_10_1186_s12984_015_0028_2
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20150402
2015-4-2
2015-Apr-02
PublicationDateYYYYMMDD 2015-04-02
PublicationDate_xml – month: 4
  year: 2015
  text: 20150402
  day: 2
PublicationDecade 2010
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Journal of neuroengineering and rehabilitation
PublicationTitleAbbrev J NeuroEngineering Rehabil
PublicationTitleAlternate J Neuroeng Rehabil
PublicationYear 2015
Publisher BioMed Central
BioMed Central Ltd
Publisher_xml – name: BioMed Central
– name: BioMed Central Ltd
References JC Kempen (28_CR38) 2012; 93
ME Morris (28_CR23) 2002; 72
A Kalron (28_CR32) 2013; 2013
U Roelcke (28_CR6) 1997; 48
JB Nielsen (28_CR15) 2003; 9
JC Weber (28_CR34) 1970
JR Hebert (28_CR14) 2013; 38
R Sacco (28_CR20) 2011; 258
A Steens (28_CR12) 2012; 26
LA Pilutti (28_CR26) 2013; 75
O Faude (28_CR29) 2012; 36
R Djaldetti (28_CR10) 1996; 46
N Giladi (28_CR37) 2005; 2
JC Hobar (28_CR2) 2001; 124
F Morgante (28_CR36) 2011; 258
RW Motl (28_CR21) 2012; 26
CH Polman (28_CR28) 2011; 2011
N Tellez (28_CR31) 2005; 11
P Flachenecker (28_CR33) 2002; 8
Y Nilsagard (28_CR16) 2009; 23
H Ford (28_CR1) 1998; 45
LA Nogueira (28_CR19) 2013; 35
S Coote (28_CR40) 2014; 14
HL Zwibel (28_CR3) 2009; 26
AK Andreasen (28_CR13) 2009; 15
R Mazumder (28_CR17) 2014; 9
JM Huisinga (28_CR18) 2011; 92
M Filippi (28_CR8) 2002; 15
M Garrett (28_CR27) 2013; 19
MP Amato (28_CR4) 2012; 13
SJ Crenshaw (28_CR24) 2006; 12
RE Emmerik Van (28_CR25) 2010; 32
GL Sheean (28_CR11) 1997; 120
TJ Braley (28_CR5) 2010; 33
D Kos (28_CR30) 2005; 11
U Givon (28_CR35) 2009; 29
Y Bol (28_CR39) 2010; 33
G Comi (28_CR7) 2001; 248
BM Sandroff (28_CR22) 2014; 2014
C Pellicano (28_CR9) 2010; 67
20815187 - Sleep. 2010 Aug;33(8):1061-7
15065815 - Neuroscientist. 2003 Jun;9(3):195-204
9117377 - Brain. 1997 Feb;120 ( Pt 2):299-315
20385911 - Arch Neurol. 2010 Apr;67(4):447-53
25528262 - BMC Neurol. 2014;14:241
22440485 - Arch Phys Med Rehabil. 2012 May;93(5):889-95
20508981 - J Behav Med. 2010 Oct;33(5):355-63
20943393 - Gait Posture. 2010 Oct;32(4):608-14
20082242 - Adv Ther. 2009 Dec;26(12):1043-57
21872838 - Arch Phys Med Rehabil. 2011 Oct;92(10):1594-601
12474995 - Mult Scler. 2002 Dec;8(6):523-6
23132904 - Mult Scler. 2013 May;19(6):790-8
23878746 - ISRN Neurol. 2013 Jun 25;2013:867575
23788693 - Psychosom Med. 2013 Jul-Aug;75(6):575-80
15794395 - Mult Scler. 2005 Apr;11(2):198-202
20859746 - J Neurol. 2011 Feb;258(2):263-72
22220738 - Expert Opin Pharmacother. 2012 Feb;13(2):207-16
15732270 - Mult Scler. 2005 Feb;11(1):76-80
23869824 - Disabil Rehabil. 2013 Aug;35(17):1472-8
11848698 - Neuroimage. 2002 Mar;15(3):559-67
22466791 - Neurorehabil Neural Repair. 2012 Oct;26(8):1015-21
19218300 - Clin Rehabil. 2009 Mar;23(3):259-69
17086908 - Mult Scler. 2006 Oct;12(5):613-9
8618658 - Neurology. 1996 Mar;46(3):632-5
25254633 - PLoS One. 2014;9(9):e107620
21387374 - Ann Neurol. 2011 Feb;69(2):292-302
24734181 - Mult Scler Int. 2014;2014:162765
9191767 - Neurology. 1997 Jun;48(6):1566-71
11335698 - Brain. 2001 May;124(Pt 5):962-73
21076978 - J Neurol. 2011 May;258(5):889-94
11355149 - J Neurol. 2001 Mar;248(3):174-9
18951800 - Gait Posture. 2009 Jan;29(1):138-42
9720853 - J Psychosom Res. 1998 Jul;45(1):33-8
15726273 - J Neurol. 2005 Mar;252(3):300-6
19465444 - Mult Scler. 2009 Jul;15(7):818-27
11861697 - J Neurol Neurosurg Psychiatry. 2002 Mar;72(3):361-5
22555061 - Gait Posture. 2012 Jul;36(3):444-8
23200463 - Gait Posture. 2013 May;38(1):37-42
21856990 - Neurorehabil Neural Repair. 2012 Jan;26(1):48-57
References_xml – volume: 38
  start-page: 37
  year: 2013
  ident: 28_CR14
  publication-title: Gait Posture
  doi: 10.1016/j.gaitpost.2012.10.015
– volume: 2
  start-page: 300
  issue: 3
  year: 2005
  ident: 28_CR37
  publication-title: J Neurol
  doi: 10.1007/s00415-005-0641-2
– volume: 258
  start-page: 263
  year: 2011
  ident: 28_CR36
  publication-title: J Neurol
  doi: 10.1007/s00415-010-5742-x
– volume: 11
  start-page: 76
  year: 2005
  ident: 28_CR30
  publication-title: Mult Scler
  doi: 10.1191/1352458505ms1117oa
– volume: 46
  start-page: 632
  year: 1996
  ident: 28_CR10
  publication-title: Neurology
  doi: 10.1212/WNL.46.3.632
– volume: 2011
  start-page: 292
  issue: 69
  year: 2011
  ident: 28_CR28
  publication-title: Ann Neurol
  doi: 10.1002/ana.22366
– volume: 29
  start-page: 138
  year: 2009
  ident: 28_CR35
  publication-title: Gait and Posture
  doi: 10.1016/j.gaitpost.2008.07.011
– volume: 124
  start-page: 962
  year: 2001
  ident: 28_CR2
  publication-title: Brain
  doi: 10.1093/brain/124.5.962
– volume: 35
  start-page: 1472
  year: 2013
  ident: 28_CR19
  publication-title: Disabil Rehabil
  doi: 10.3109/09638288.2012.738760
– volume: 8
  start-page: 523
  year: 2002
  ident: 28_CR33
  publication-title: Mult Scler
  doi: 10.1191/1352458502ms839oa
– volume: 45
  start-page: 33
  year: 1998
  ident: 28_CR1
  publication-title: J Psychosom Res
  doi: 10.1016/S0022-3999(98)00004-X
– start-page: 59
  volume-title: Statistics and research in physical education
  year: 1970
  ident: 28_CR34
– volume: 92
  start-page: 1594
  year: 2011
  ident: 28_CR18
  publication-title: Arch Phys Med Rehabil
  doi: 10.1016/j.apmr.2011.05.017
– volume: 14
  start-page: 241
  year: 2014
  ident: 28_CR40
  publication-title: BMC Neurol
  doi: 10.1186/s12883-014-0241-9
– volume: 75
  start-page: 575
  year: 2013
  ident: 28_CR26
  publication-title: Psychosom Med
  doi: 10.1097/PSY.0b013e31829b4525
– volume: 26
  start-page: 1043
  year: 2009
  ident: 28_CR3
  publication-title: Adv Ther
  doi: 10.1007/s12325-009-0082-x
– volume: 32
  start-page: 608
  year: 2010
  ident: 28_CR25
  publication-title: Gait Posture
  doi: 10.1016/j.gaitpost.2010.09.002
– volume: 9
  start-page: 195
  year: 2003
  ident: 28_CR15
  publication-title: Neuroscientist
  doi: 10.1177/1073858403009003012
– volume: 23
  start-page: 259
  year: 2009
  ident: 28_CR16
  publication-title: Clin Rehabil
  doi: 10.1177/0269215508095087
– volume: 13
  start-page: 207
  year: 2012
  ident: 28_CR4
  publication-title: Expert Opin Pharmacother
  doi: 10.1517/14656566.2012.647767
– volume: 26
  start-page: 48
  year: 2012
  ident: 28_CR12
  publication-title: Neurorehabil Neural Repair
  doi: 10.1177/1545968311416991
– volume: 15
  start-page: 559
  year: 2002
  ident: 28_CR8
  publication-title: Neuroimage
  doi: 10.1006/nimg.2001.1011
– volume: 15
  start-page: 818
  year: 2009
  ident: 28_CR13
  publication-title: Mult Scler
  doi: 10.1177/1352458509105383
– volume: 2013
  start-page: 867575
  year: 2013
  ident: 28_CR32
  publication-title: ISRN Neurol
  doi: 10.1155/2013/867575
– volume: 9
  start-page: e107620
  year: 2014
  ident: 28_CR17
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0107620
– volume: 33
  start-page: 355
  year: 2010
  ident: 28_CR39
  publication-title: J Behav Med
  doi: 10.1007/s10865-010-9266-8
– volume: 33
  start-page: 1061
  issue: 8
  year: 2010
  ident: 28_CR5
  publication-title: Sleep
  doi: 10.1093/sleep/33.8.1061
– volume: 2014
  start-page: 162765
  year: 2014
  ident: 28_CR22
  publication-title: Mult Scler Int
– volume: 12
  start-page: 613
  year: 2006
  ident: 28_CR24
  publication-title: Mult Scler
  doi: 10.1177/1352458505070609
– volume: 120
  start-page: 299
  issue: Pt 2
  year: 1997
  ident: 28_CR11
  publication-title: Brain
  doi: 10.1093/brain/120.2.299
– volume: 72
  start-page: 361
  year: 2002
  ident: 28_CR23
  publication-title: J Neurol Neurosurg Psychiatr
  doi: 10.1136/jnnp.72.3.361
– volume: 19
  start-page: 790
  year: 2013
  ident: 28_CR27
  publication-title: Mult Scler
  doi: 10.1177/1352458512461390
– volume: 67
  start-page: 447
  year: 2010
  ident: 28_CR9
  publication-title: Arch Neurol
  doi: 10.1001/archneurol.2010.48
– volume: 258
  start-page: 889
  year: 2011
  ident: 28_CR20
  publication-title: J Neurol
  doi: 10.1007/s00415-010-5821-z
– volume: 11
  start-page: 198
  year: 2005
  ident: 28_CR31
  publication-title: Mult Scler
  doi: 10.1191/1352458505ms1148oa
– volume: 48
  start-page: 1566
  year: 1997
  ident: 28_CR6
  publication-title: Neurology
  doi: 10.1212/WNL.48.6.1566
– volume: 248
  start-page: 174
  year: 2001
  ident: 28_CR7
  publication-title: J Neurol
  doi: 10.1007/s004150170222
– volume: 26
  start-page: 1015
  year: 2012
  ident: 28_CR21
  publication-title: Neurorehabil Neural Repair
  doi: 10.1177/1545968312437943
– volume: 93
  start-page: 889
  year: 2012
  ident: 28_CR38
  publication-title: Arch Phys Med Rehabil
  doi: 10.1016/j.apmr.2011.12.013
– volume: 36
  start-page: 444
  year: 2012
  ident: 28_CR29
  publication-title: Gait Posture
  doi: 10.1016/j.gaitpost.2012.04.003
– reference: 23788693 - Psychosom Med. 2013 Jul-Aug;75(6):575-80
– reference: 15732270 - Mult Scler. 2005 Feb;11(1):76-80
– reference: 20508981 - J Behav Med. 2010 Oct;33(5):355-63
– reference: 23869824 - Disabil Rehabil. 2013 Aug;35(17):1472-8
– reference: 22555061 - Gait Posture. 2012 Jul;36(3):444-8
– reference: 15726273 - J Neurol. 2005 Mar;252(3):300-6
– reference: 25528262 - BMC Neurol. 2014;14:241
– reference: 21076978 - J Neurol. 2011 May;258(5):889-94
– reference: 11848698 - Neuroimage. 2002 Mar;15(3):559-67
– reference: 18951800 - Gait Posture. 2009 Jan;29(1):138-42
– reference: 21387374 - Ann Neurol. 2011 Feb;69(2):292-302
– reference: 23132904 - Mult Scler. 2013 May;19(6):790-8
– reference: 20943393 - Gait Posture. 2010 Oct;32(4):608-14
– reference: 19465444 - Mult Scler. 2009 Jul;15(7):818-27
– reference: 20815187 - Sleep. 2010 Aug;33(8):1061-7
– reference: 20385911 - Arch Neurol. 2010 Apr;67(4):447-53
– reference: 22466791 - Neurorehabil Neural Repair. 2012 Oct;26(8):1015-21
– reference: 24734181 - Mult Scler Int. 2014;2014:162765
– reference: 19218300 - Clin Rehabil. 2009 Mar;23(3):259-69
– reference: 15065815 - Neuroscientist. 2003 Jun;9(3):195-204
– reference: 15794395 - Mult Scler. 2005 Apr;11(2):198-202
– reference: 9191767 - Neurology. 1997 Jun;48(6):1566-71
– reference: 11355149 - J Neurol. 2001 Mar;248(3):174-9
– reference: 21856990 - Neurorehabil Neural Repair. 2012 Jan;26(1):48-57
– reference: 23200463 - Gait Posture. 2013 May;38(1):37-42
– reference: 20859746 - J Neurol. 2011 Feb;258(2):263-72
– reference: 22440485 - Arch Phys Med Rehabil. 2012 May;93(5):889-95
– reference: 25254633 - PLoS One. 2014;9(9):e107620
– reference: 11861697 - J Neurol Neurosurg Psychiatry. 2002 Mar;72(3):361-5
– reference: 8618658 - Neurology. 1996 Mar;46(3):632-5
– reference: 20082242 - Adv Ther. 2009 Dec;26(12):1043-57
– reference: 11335698 - Brain. 2001 May;124(Pt 5):962-73
– reference: 23878746 - ISRN Neurol. 2013 Jun 25;2013:867575
– reference: 9117377 - Brain. 1997 Feb;120 ( Pt 2):299-315
– reference: 22220738 - Expert Opin Pharmacother. 2012 Feb;13(2):207-16
– reference: 17086908 - Mult Scler. 2006 Oct;12(5):613-9
– reference: 12474995 - Mult Scler. 2002 Dec;8(6):523-6
– reference: 9720853 - J Psychosom Res. 1998 Jul;45(1):33-8
– reference: 21872838 - Arch Phys Med Rehabil. 2011 Oct;92(10):1594-601
SSID ssj0034054
Score 2.2253008
Snippet Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations....
Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations. Symptomatic...
Background Multiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations....
BACKGROUNDMultiple sclerosis (MS) is a multi-focal progressive disorder of the central nervous system often resulting in diverse clinical manifestations....
SourceID pubmedcentral
proquest
gale
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 34
SubjectTerms Adult
Analysis
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Care and treatment
Complications and side effects
Cross-Sectional Studies
Diagnosis
Exercise equipment
Exercise Test
Fatigue
Fatigue - epidemiology
Fatigue - etiology
Female
Gait - physiology
Gait Disorders, Neurologic - epidemiology
Gait Disorders, Neurologic - etiology
Health aspects
Humans
Male
Middle Aged
Multiple sclerosis
Multiple Sclerosis, Relapsing-Remitting - complications
Neurology
Neurosciences
Rehabilitation Medicine
Risk factors
Surveys and Questionnaires
Walking
Walking - physiology
SummonAdditionalLinks – databaseName: Springer Nature Link OA Free Journals
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bi9QwFA6yguiDl_FWXeUIXkApTtokTX1bFpdFWBHZhX0LSZrsDrjdhc4--Ff8tZ6TtkM7qODrnHRocr6TnOZ8-cLY6yX3yhF7xlsvcuFKm7tC29wjVnABrXij6ezw0Vd1eCK-nMrTQSyazsJM6_dcq48drkeaeBIyTxtBONvelLxUqS6r9sdJt8S8QwxFyz8-Nlt2tiffyeqzzYzcKo-mVefgPrs7pIuw1_v3AbsR2gW7MxERXLBbR0N5fMHeTDWD4bgXDIC38H0mx71g974N3hnbPGS_Jn6CgbwFV8R6wemwgYiGs-sAtm3gzK7WQJLhF0Sl6eCi32ZswP1EO6ySJm3S-myAeOwN3WyEP0PPVgfa-oWRyAgd9guHbNV9Agtp8PIu0cOoC0n89hE7Ofh8vH-YD_c25B7Tj3WO7i2i4N4urQ2hjNa5gMEYVK2li4JuYlfCNVaii2ofayGE00UQOrqSO1-Vj9lOe9mGpwxKGZYuqqbArEn4MtQxllUQVYjecyFDxpajW40fRpHu1vhh0seNVqZHgkEkGEKCKTL2fvPIVa_o8a_G7wgrhqId_xcB3R9awLcj3SyzJykB0pzXGdudtcQo9TPzqxFthkxEbWvD5XVn6Bu8FIorlbEnPfo271VIrSXmtBmrZrjcNCBx8LmlXZ0nkXAcZtp8yNiHEcFmmJ26v3f32X-1fs5uFynCMNCKXbaD4AovMEVbu5cpOH8Djc05Bg
  priority: 102
  providerName: Springer Nature
Title Association between perceived fatigue and gait parameters measured by an instrumented treadmill in people with multiple sclerosis: a cross-sectional study
URI https://link.springer.com/article/10.1186/s12984-015-0028-2
https://www.ncbi.nlm.nih.gov/pubmed/25885551
https://www.proquest.com/docview/1721346166
https://pubmed.ncbi.nlm.nih.gov/PMC4403837
Volume 12
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1ta9swED66Fsb6YS_Z1nnrggZ7gQ1vsS3LymCMLjQrg5RSGsg3IclyF2jdbk5h_Sv7tbuT7RCHdl8CieSgl-d0J-nxcwCvB5EVhtgzVlsecpPo0MRShxaxgg40i3JJ7w5PDsXBlP-YpbMNaNNbNQNY3bi1o3xS099nH__8uv6KBv_FG7wUnyr0WZK4FGnoD4twRd5CxyRoLzbhy0uFBGMT3lxs3vgYCQOnUqZpGnW81PpaveKs1omUa7ep3kmNH8L9JrpkezUcHsGGK3uwvaI52IO7k-Y2vQdvViWG2UmtL8DesuOOencPHhw1k9nWeQx_V6aVNVwvdkkkGVw9c1ZgwemVY7rM2ameLxgpjJ8T86Zi5_WpZM7MNZazuZew9dKgOSPae06JkPBnVpPbGZ0Us5b3yCrsFw7ZvPrMNPODF1aeTUZd8Fq5T2A63j8ZHYRNmofQYrSyCBENccEjqwdaO5cU2hiHtuvEUKam4JS4XXCT6xRna2iLIefcyNhxWZgkMjZLnsJmeVG6Z8CS1A1MIfIYgyxuEzcsiiRzPHOFtRFPXQCDdlqVbUaRUnGcKb8XkkLVoFAICkWgUHEA75ePXNYCIP-r_I6wogiu-L-I__odB2wdyWypvZTiJRlFwwB2OzXRqG2n-FWLNkVFxIQr3cVVpWjLnnARCRHATo2-Zbta9AaQdXC5rEBa4t2Scv7Ta4rjMNNZRQAfWgSr1hZv7-7zW1vwAu7F3rDQvuJd2EQguZcYvS1MH-5ksww_5fh7H7a-7R8eHeO3kRj1_XlI39vsPxf4SKo
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3bjtMwEB2hrsTlgUu5BRYYJC4SKKJJnMThrUKsStmuEHSlfbNsx1kqsdmV0n3gV_haZpykaipA4rXjVLHnzHhiHx8DvJhENjPMnrHailCYRIcmljq0hBWaQPOolHx2eHGUzY7F_CQ96c5xNz3bvd-S9Jnah7XM3jU0M0lmTKShXxKivLsnqRgRI9ibTuff5n0CTqgGEd0G5h8fHExBu4l4aybaZUnubJX6GejgNtzsSkectr6-A1dcPYYbW4KCY7i66LbKx_ByWz8Yl614AL7CrwNp7jHc-tJ5qm9zF35t-Qw7IhdeMAOGUmOJFRlOLx3qusRTvVojy4efMa2mwbN2ybFE85PsuPL6tF73s0TmtJd8yxH9jC1zHXkZGHtSIzbULxqyVfMeNfrBCxtPFeMueCHce3B88HH5YRZ2dziElkqRdUiujisRWT3R2rmk0sY4CkyXFTI1leBb2TNhSp2SiwpbFUIII2MnZGWSyNg8uQ-j-rx2DwGT1E1MlZUxVVDCJq6oqiR3IneVtZFIXQCT3q3KdqPI92z8UP5DR2aqRYIiJChGgooDeLN55KJV9_hX49eMFcWRT_9L4G4PMNDbsYaWmqZcDMkoKgLYH7SkiLUD8_MebYpNTHOr3fllo_h7PBFZlGUBPGjRt3mvOJUypfo2gHyAy00DFgofWurVdy8YTsPMCxEBvO0RrLpM1fy9u4_-q_UzuDZbLg7V4aejz4_heuyjjYIu3ocRAc09odJtbZ52ofobAHlBZA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bb9MwFD5CQ5rggUu5BQYcJC4SKFqTOK7L2zSoxmXThDZpb5bt2KMSyyqle-Cv8Gs5x0mqpgIkXmunin2-c4n9-TPAy3HmpGX2jDNOpMIWJrW5MqkjrFACnWSV4rPDh0fy4FR8PivPuntOm57t3m9JtmcaWKWpXu4uqtC6uJK7DWUpxeyJMo3LQxSDrwvOfLxbK_f7UFxQNSK6rcw_PjZIRpsheS0nbfIlNzZNYy6a3YFbXRGJe63V78I1X4_g5pq04Ai2D7tN8xG8WlcSxpNWRgBf47eBSPcIbh93Nuv73INfa9bDjtKFC-bCUJCsMFDD-ZVHU1d4buZLZCHxCybYNHjRLj5WaH9SO86jUm1UAK2Q2e0V33dEP2PLYUdeEMae3ogNjYumbN68R4Nx8tImksZ4CFES9z6czj6e7B-k3W0OqaOiZJmS0fMgMmfGxnhfBGOtJxf1cqpKGwTfzy6FrUxJJpq6MBVCWJV7oYItMusmxQPYqi9r_wiwKP3YBlnlVEsJV_hpCMXEi4kPzmWi9AmMe7Nq180i37jxQ8dPHiV1iwRNSNCMBJ0n8Hb1yKLV-fhX5zeMFc0xgP6XYN4eZaC3YzUtvVdyWaSybJrAzqAn-a4bNL_o0aa5iQlvtb-8ajR_mRdCZlIm8LBF3-q98lKpkirdBCYDXK46sGT4sKWef4_S4TTNvCSRwLsewbqLWc3fh_v4v3o_h-3jDzP99dPRlydwI4_ORj6X78AW4cw_pRpuaZ9FP_0NDCNEOg
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=Association+between+perceived+fatigue+and+gait+parameters+measured+by+an+instrumented+treadmill+in+people+with+multiple+sclerosis%3A+a+cross-sectional+study&rft.jtitle=Journal+of+neuroengineering+and+rehabilitation&rft.au=Kalron%2C+Alon&rft.date=2015-04-02&rft.eissn=1743-0003&rft.volume=12&rft.spage=34&rft_id=info:doi/10.1186%2Fs12984-015-0028-2&rft_id=info%3Apmid%2F25885551&rft.externalDocID=25885551
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1743-0003&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1743-0003&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1743-0003&client=summon