A Performance Evaluation of Overground Gait Training with a Mobile Body Weight Support System using Wearable Sensors

Overground gait training under body weight support (BWS) for patients who suffer from neurological injuries has been proven practical in recovering from walking ability. Conventionally, skilled therapists or additional robots are required to assist the patient's body weight and pelvis movement,...

Full description

Saved in:
Bibliographic Details
Published inIEEE sensors journal Vol. 23; no. 11; p. 1
Main Authors Dong, Zonghao, Luces, Jose Victorio Salazar, Ravankar, Ankit A., Tafrishi, Seyed Amir, Hirata, Yasuhisa
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Overground gait training under body weight support (BWS) for patients who suffer from neurological injuries has been proven practical in recovering from walking ability. Conventionally, skilled therapists or additional robots are required to assist the patient's body weight and pelvis movement, making the rehabilitation process physically and economically burdensome. We investigate if a BWS walker using only two actuators can support the user's body weight and simultaneously protect/assist the transverse pelvis rotation, improving natural gait with minimal motion compensation. In this paper, a BWS strategy called transverse pelvis rotation support (TPRS) is proposed to enable the BWS system to generate cable tension in the forward direction, as a purpose to support transverse pelvis rotation in addition to our previously proposed static or variable BWS. Wearable sensory devices, including instrumented shoes and harness, were developed to provide real-time ground reaction force and pelvis rotation signals simultaneously. Ten non-disabled participants were unloaded with 0% ~ 15% BWS under four different controls. Vertical ground reaction force, transverse pelvis kinematics, and user experience were compared using proposed controls. One-Way repeated measures ANOVA analysis assessed if control strategies generally affect the performance. All proposed controls enable the walker to support part of the user's body weight. SBWS-TPRS and VBWS-TPRS control enable users to achieve a significantly improved pelvic motion and prolonged single support phase than pure static BWS or variable BWS, although users perceive a higher workload under them. The proposed BWS controls show the potential to become a complementary method in gait rehabilitation.
AbstractList Overground gait training under body weight support (BWS) for patients who suffer from neurological injuries has been proven practical in recovering from walking ability. Conventionally, skilled therapists or additional robots are required to assist the patient’s body weight and pelvis movement, making the rehabilitation process physically and economically burdensome. We investigate if a BWS walker using only two actuators can support the user’s body weight and simultaneously protect/assist the transverse pelvis rotation (TPR), improving natural gait with minimal motion compensation. In this article, a BWS strategy called TPR support (TPRS) is proposed to enable the BWS system to generate cable tension in the forward direction, as a purpose to support TPR in addition to our previously proposed static or variable BWS (VBWS). Wearable sensory devices, including instrumented shoes and harness, were developed to provide real-time ground reaction force and pelvis rotation signals simultaneously. Ten nondisabled participants were unloaded with 0%–15% BWS under four different controls. Vertical ground reaction force, transverse pelvis kinematics, and user experience (UE) were compared using proposed controls. One-way repeated measures ANOVA analysis assessed if control strategies generally affect the performance. All proposed controls enable the walker to support part of the user’s body weight. Static body weight support (SBWS)-TPRS and VBWS-TPRS controls enable users to achieve a significantly improved pelvic motion and prolonged single support phase than pure SBWS or VBWS, although users perceive a higher workload (WL) under them. The proposed BWS controls show the potential to become a complementary method in gait rehabilitation.
Overground gait training under body weight support (BWS) for patients who suffer from neurological injuries has been proven practical in recovering from walking ability. Conventionally, skilled therapists or additional robots are required to assist the patient's body weight and pelvis movement, making the rehabilitation process physically and economically burdensome. We investigate if a BWS walker using only two actuators can support the user's body weight and simultaneously protect/assist the transverse pelvis rotation, improving natural gait with minimal motion compensation. In this paper, a BWS strategy called transverse pelvis rotation support (TPRS) is proposed to enable the BWS system to generate cable tension in the forward direction, as a purpose to support transverse pelvis rotation in addition to our previously proposed static or variable BWS. Wearable sensory devices, including instrumented shoes and harness, were developed to provide real-time ground reaction force and pelvis rotation signals simultaneously. Ten non-disabled participants were unloaded with 0% ~ 15% BWS under four different controls. Vertical ground reaction force, transverse pelvis kinematics, and user experience were compared using proposed controls. One-Way repeated measures ANOVA analysis assessed if control strategies generally affect the performance. All proposed controls enable the walker to support part of the user's body weight. SBWS-TPRS and VBWS-TPRS control enable users to achieve a significantly improved pelvic motion and prolonged single support phase than pure static BWS or variable BWS, although users perceive a higher workload under them. The proposed BWS controls show the potential to become a complementary method in gait rehabilitation.
Author Ravankar, Ankit A.
Luces, Jose Victorio Salazar
Tafrishi, Seyed Amir
Hirata, Yasuhisa
Dong, Zonghao
Author_xml – sequence: 1
  givenname: Zonghao
  orcidid: 0000-0001-5319-787X
  surname: Dong
  fullname: Dong, Zonghao
  organization: Department of Robotics, Tohoku University, Sendai, Japan
– sequence: 2
  givenname: Jose Victorio Salazar
  orcidid: 0000-0003-0556-9194
  surname: Luces
  fullname: Luces, Jose Victorio Salazar
  organization: Department of Robotics, Tohoku University, Sendai, Japan
– sequence: 3
  givenname: Ankit A.
  orcidid: 0000-0002-5104-9782
  surname: Ravankar
  fullname: Ravankar, Ankit A.
  organization: Department of Robotics, Tohoku University, Sendai, Japan
– sequence: 4
  givenname: Seyed Amir
  orcidid: 0000-0001-9829-3144
  surname: Tafrishi
  fullname: Tafrishi, Seyed Amir
  organization: Engineering School, Robotics and Autonomous Intelligent Machines Group, Cardiff University, Cardiff, UK
– sequence: 5
  givenname: Yasuhisa
  orcidid: 0000-0002-5931-0471
  surname: Hirata
  fullname: Hirata, Yasuhisa
  organization: Department of Robotics, Tohoku University, Sendai, Japan
BookMark eNpNkMtOwzAQRS1UJJ4fgMTCEuuUcZzE8RKqUkC8pIJgF9npuDVq7WInRf17ErULVncW596RzgkZOO-QkAsGQ8ZAXj9Oxy_DFFI-5GkhgbMDcszyvEyYyMpBf3NIMi6-jshJjN8ATIpcHJPmhr5hMD6slKuRjjdq2arGeke9oa8bDPPgWzejE2Ub-h6UddbN6a9tFlTRZ6_tEumtn23pJ9r5oqHTdr32octtbHBF29jjn6iC0h05RRd9iGfk0KhlxPN9npKPu_H76D55ep08jG6ekjqVWZNohVBDKYzOeCHNTGda5GhmUHBToNFMcl3kCKojUAiQqQTDBAejpZKS8VNytdtdB__TYmyqb98G172s0jJlUJQ84x3FdlQdfIwBTbUOdqXCtmJQ9XKrXm7Vy632crvO5a5jEfEfz6CUvOR_JVR5Cw
CODEN ISJEAZ
CitedBy_id crossref_primary_10_1109_TMECH_2023_3346278
crossref_primary_10_23919_JSEE_2024_000050
Cites_doi 10.1109/BIA48344.2019.8967448
10.1109/MRA.2022.3223256
10.3390/s21206709
10.4108/icst.bodynets.2013.253613
10.3389/fnhum.2017.00127
10.1016/j.measurement.2016.10.017
10.1109/ES.2017.37
10.1109/TMECH.2014.2376199
10.3389/fneur.2020.00126
10.1155/2020/2802574
10.3390/ijerph19105814
10.1109/TNSRE.2007.903922
10.12965/jer.1836386.193
10.1089/neu.2013.3049
10.1016/j.apmr.2016.11.022
10.1002/mdc3.12379
10.1109/86.895954
10.1016/j.jbiomech.2007.04.016
10.1109/LRA.2021.3068691
10.1038/s41598-019-44652-y
10.3390/app10134685
10.1589/jpts.27.2171
10.1109/JTEHM.2014.2303807
10.1109/ICORR.2013.6650489
10.1186/1743-0003-8-66
10.1016/j.clinbiomech.2015.03.010
10.3389/fneur.2019.00999
10.1016/j.apmr.2009.10.029
10.3233/NRE-172267
10.1371/journal.pone.0107323
10.1016/j.neucli.2015.09.005
10.3389/fphys.2018.01955
10.1177/1687814016683598
10.1016/j.clinph.2011.07.042
10.15761/PRR.1000128
10.1682/JRRD.2010.05.0098
10.1186/s12984-021-00964-7
10.1007/978-3-031-25555-7_19
10.1016/j.clinph.2021.04.023
10.1080/09593985.2020.1802797
10.1242/jeb.027581
10.3233/NRE-161325
10.1186/s13102-022-00417-1
10.1177/1687814018783627
10.3233/NRE-141089
10.1080/10255842.2010.499866
10.1016/j.jbiomech.2014.10.027
10.1109/UR52253.2021.9494688
10.1109/IEMBS.2010.5625972
10.1186/s12984-018-0380-0
10.1109/IEEECONF49454.2021.9382656
10.3233/NRE-141054
10.1109/JBHI.2014.2320408
10.1179/2045772314Y.0000000217
10.3389/fmed.2019.00335
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
7U5
8FD
L7M
DOI 10.1109/JSEN.2023.3269031
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Xplore Digital Library
CrossRef
Electronics & Communications Abstracts
Solid State and Superconductivity Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
DatabaseTitle CrossRef
Solid State and Superconductivity Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Solid State and Superconductivity Abstracts

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore Digital Library
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Geography
Engineering
EISSN 1558-1748
EndPage 1
ExternalDocumentID 10_1109_JSEN_2023_3269031
10108938
Genre orig-research
GrantInformation_xml – fundername: Japan Science and Technology Agency
  grantid: JPMJMS2034
  funderid: 10.13039/501100002241
GroupedDBID -~X
0R~
29I
4.4
5GY
6IK
97E
AAJGR
AASAJ
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
AENEX
AJQPL
AKJIK
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
EBS
F5P
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
RIA
RIE
RIG
RNS
TWZ
AAYXX
CITATION
7SP
7U5
8FD
L7M
ID FETCH-LOGICAL-c294t-bae0c087fb4369fdb4b75efd063f6efb193b65e0a7fbe7709290f1730fb9a9913
IEDL.DBID RIE
ISSN 1530-437X
IngestDate Fri Sep 13 05:56:16 EDT 2024
Fri Aug 23 00:24:06 EDT 2024
Wed Jun 26 19:27:48 EDT 2024
IsPeerReviewed true
IsScholarly true
Issue 11
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c294t-bae0c087fb4369fdb4b75efd063f6efb193b65e0a7fbe7709290f1730fb9a9913
ORCID 0000-0001-5319-787X
0000-0003-0556-9194
0000-0002-5104-9782
0000-0001-9829-3144
0000-0002-5931-0471
PQID 2821068343
PQPubID 75733
PageCount 1
ParticipantIDs crossref_primary_10_1109_JSEN_2023_3269031
ieee_primary_10108938
proquest_journals_2821068343
PublicationCentury 2000
PublicationDate 2023-06-01
PublicationDateYYYYMMDD 2023-06-01
PublicationDate_xml – month: 06
  year: 2023
  text: 2023-06-01
  day: 01
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE sensors journal
PublicationTitleAbbrev JSEN
PublicationYear 2023
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref12
ref56
ref15
ref14
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref47
ref41
ref44
ref43
Tran (ref34) 2020; 10
ref49
Dusane (ref42) 2023; 2023
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
ref35
ref37
ref36
ref31
ref30
ref33
ref32
ref2
ref1
ref39
ref38
ref24
ref23
ref26
Filzah Pg Damit (ref48) 2017; 95
ref25
ref20
ref22
ref21
ref28
ref27
ref29
References_xml – ident: ref15
  doi: 10.1109/BIA48344.2019.8967448
– volume: 2023
  start-page: 1
  year: 2023
  ident: ref42
  article-title: Control of center of mass motion during walking predicts gait and balance in people with incomplete spinal cord injury
  publication-title: MedRxiv
  contributor:
    fullname: Dusane
– ident: ref6
  doi: 10.1109/MRA.2022.3223256
– ident: ref28
  doi: 10.3390/s21206709
– ident: ref45
  doi: 10.4108/icst.bodynets.2013.253613
– ident: ref54
  doi: 10.3389/fnhum.2017.00127
– volume: 95
  start-page: 230
  year: 2017
  ident: ref48
  article-title: Instrumented measurement analysis system for soldiers’ load carriage movement using 3-D kinematics and spatio-temporal features
  publication-title: Measurement
  doi: 10.1016/j.measurement.2016.10.017
  contributor:
    fullname: Filzah Pg Damit
– ident: ref50
  doi: 10.1109/ES.2017.37
– ident: ref27
  doi: 10.1109/TMECH.2014.2376199
– ident: ref1
  doi: 10.3389/fneur.2020.00126
– ident: ref38
  doi: 10.1155/2020/2802574
– ident: ref22
  doi: 10.3390/ijerph19105814
– ident: ref52
  doi: 10.1109/TNSRE.2007.903922
– ident: ref2
  doi: 10.12965/jer.1836386.193
– ident: ref3
  doi: 10.1089/neu.2013.3049
– ident: ref11
  doi: 10.1016/j.apmr.2016.11.022
– ident: ref47
  doi: 10.1002/mdc3.12379
– ident: ref17
  doi: 10.1109/86.895954
– ident: ref33
  doi: 10.1016/j.jbiomech.2007.04.016
– ident: ref37
  doi: 10.1109/LRA.2021.3068691
– ident: ref12
  doi: 10.1038/s41598-019-44652-y
– volume: 10
  start-page: 4685
  issue: 13
  year: 2020
  ident: ref34
  article-title: Influence of body weight support systems on the abnormal gait kinematic
  publication-title: Appl. Sci.
  doi: 10.3390/app10134685
  contributor:
    fullname: Tran
– ident: ref56
  doi: 10.1589/jpts.27.2171
– ident: ref29
  doi: 10.1109/JTEHM.2014.2303807
– ident: ref13
  doi: 10.1109/ICORR.2013.6650489
– ident: ref5
  doi: 10.1186/1743-0003-8-66
– ident: ref21
  doi: 10.1016/j.clinbiomech.2015.03.010
– ident: ref40
  doi: 10.3389/fneur.2019.00999
– ident: ref10
  doi: 10.1016/j.apmr.2009.10.029
– ident: ref9
  doi: 10.3233/NRE-172267
– ident: ref30
  doi: 10.1371/journal.pone.0107323
– ident: ref24
  doi: 10.1016/j.neucli.2015.09.005
– ident: ref7
  doi: 10.3389/fphys.2018.01955
– ident: ref19
  doi: 10.1177/1687814016683598
– ident: ref44
  doi: 10.1016/j.clinph.2011.07.042
– ident: ref55
  doi: 10.15761/PRR.1000128
– ident: ref35
  doi: 10.1682/JRRD.2010.05.0098
– ident: ref20
  doi: 10.1186/s12984-021-00964-7
– ident: ref25
  doi: 10.1007/978-3-031-25555-7_19
– ident: ref43
  doi: 10.1016/j.clinph.2021.04.023
– ident: ref23
  doi: 10.1080/09593985.2020.1802797
– ident: ref41
  doi: 10.1242/jeb.027581
– ident: ref31
  doi: 10.3233/NRE-161325
– ident: ref46
  doi: 10.1186/s13102-022-00417-1
– ident: ref4
  doi: 10.1177/1687814018783627
– ident: ref53
  doi: 10.3233/NRE-141089
– ident: ref51
  doi: 10.1080/10255842.2010.499866
– ident: ref39
  doi: 10.1016/j.jbiomech.2014.10.027
– ident: ref16
  doi: 10.1109/UR52253.2021.9494688
– ident: ref14
  doi: 10.1109/IEMBS.2010.5625972
– ident: ref32
  doi: 10.1186/s12984-018-0380-0
– ident: ref36
  doi: 10.1109/IEEECONF49454.2021.9382656
– ident: ref8
  doi: 10.3233/NRE-141054
– ident: ref26
  doi: 10.1109/JBHI.2014.2320408
– ident: ref18
  doi: 10.1179/2045772314Y.0000000217
– ident: ref49
  doi: 10.3389/fmed.2019.00335
SSID ssj0019757
Score 2.4177039
Snippet Overground gait training under body weight support (BWS) for patients who suffer from neurological injuries has been proven practical in recovering from...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Publisher
StartPage 1
SubjectTerms Actuators
Body weight
Foot
Footwear
Force
Gait
human-robot interaction
Kinematics
Legged locomotion
Monitoring
Motion compensation
Partial body weight support
Pelvis
Performance evaluation
physical assistive device
Rehabilitation
Robot sensing systems
robotic rehabilitation
Rotation
Support systems
Training
User experience
Vertical forces
wearable sensors
Wearable technology
Title A Performance Evaluation of Overground Gait Training with a Mobile Body Weight Support System using Wearable Sensors
URI https://ieeexplore.ieee.org/document/10108938
https://www.proquest.com/docview/2821068343/abstract/
Volume 23
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3NS8MwFH_oLurBj6k4nfIOnoTWdOlXjlOmMtgUprhbadpERVhldgf9631Ju_mF4K3QpA35JXm_9_I-AI6JE-hUesqRaagdX_KOI7nMHJJVIsoZdQtMoPBgGF7d-f1xMK6D1W0sjFLKOp8p1zzau_y8yGbGVEY73GMkX-NlWI5ZpwrWWlwZiMim9aQdzOhP0bi-wvSYOO2PekPX1Al3iawIxr1vQshWVfl1FFv5crEBw_nIKreSZ3dWSjd7_5G08d9D34T1mmlit1oaW7CkJk1Y-5J_sAkrdQn0x7dtKLt48xlEgL1FFnAsNF7TgjfxH5McL9OnEm_rwhJozLiY4qCQdLrgWZG_4b01tqIpF0rUHquU6Gj86x_oXTo1sVo4Iu25mL7uwN1F7_b8yqlLMjhZR_glIapYxuJIS5-HQufSl1GgdE5ER4dKS4JehoFiKbVQUcSIfDHt0SmipUiJivJdaEyKidoD9HUgWEr6TEcJX2tSpWIdSs25IIrGJG_ByRyj5KXKvJFYjYWJxACaGECTGtAW7Jg5_9Kwmu4WtOewJvXmfE1IyyRFOOY-3_-j2wGsmq9XLmFtaJTTmTok8lHKI7voPgCs69cT
link.rule.ids 315,786,790,802,27957,27958,55109
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLZ4HIADb8R4-sAJqSVb-liOgDbG2AbShtitatoEENKKRneAX4-TdjyFxK1SEyWKk_hz7M8GOCJMoGNZVY6MA-14ktccyWXikK4SYcqom2-Iwt1e0Lr12kN_WJLVLRdGKWWDz5RrPq0vP82SiXkqoxNeZaRf67MwT4qeiYKu9eE0EKFN7ElnmNFY4bB0YlLDk3a_0XNNpXCX4IpgvPpNDdm6Kr8uY6thmivQm86tCCx5cie5dJO3H2kb_z35VVgusSaeFptjDWbUaB2WvmQgXIeFsgj6w-sG5Kd480kjwMZHHnDMNF7TljcMkFGKF_FjjoOytASah1yMsZtJul_wLEtf8c4-t6IpGErgHouk6Ggi7O_pXzw2bC3sk_2cjV824bbZGJy3nLIog5PUhJeTTBVLWD3U0uOB0Kn0ZOgrnRLU0YHSkoQvA1-xmFqoMGQEv5iu0j2ipYgJjPItmBtlI7UN6GlfsJgsmpoSntZkTNV1IDXngkAak7wCx1MZRc9F7o3I2ixMREagkRFoVAq0Aptmzb80LJa7AntTsUbl8XyJyM4kU7jOPb7zR7dDWGgNup2oc9m72oVFM1IRILYHc_l4ovYJiuTywG7Ady_s2mk
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=A+Performance+Evaluation+of+Overground+Gait+Training+with+a+Mobile+Body+Weight+Support+System+using+Wearable+Sensors&rft.jtitle=IEEE+sensors+journal&rft.au=Dong%2C+Zonghao&rft.au=Luces%2C+Jose+Victorio+Salazar&rft.au=Ravankar%2C+Ankit+A.&rft.au=Tafrishi%2C+Seyed+Amir&rft.date=2023-06-01&rft.pub=IEEE&rft.issn=1530-437X&rft.eissn=1558-1748&rft.spage=1&rft.epage=1&rft_id=info:doi/10.1109%2FJSEN.2023.3269031&rft.externalDocID=10108938
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1530-437X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1530-437X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1530-437X&client=summon