Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis

Camille J Shanahan, Frederique M. C. Boonstra, L. Eduardo Cofré Lizama, Myrte Strik, Bradford A Moffat, Fary Khan, Trevor J Kilpatrick, Anneke Van Der Walt, Mary P. Galea, Scott Kolbe

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS.
Original languageEnglish
Article number708
Number of pages10
JournalFrontiers in Neurology
Volume8
DOIs
Publication statusPublished - Feb 2018
Externally publishedYes

Keywords

  • Multiple sclerosis
  • gait
  • balance

Cite this

Shanahan, Camille J ; Boonstra, Frederique M. C. ; Cofré Lizama, L. Eduardo ; Strik, Myrte ; Moffat, Bradford A ; Khan, Fary ; Kilpatrick, Trevor J ; Van Der Walt, Anneke ; Galea, Mary P. ; Kolbe, Scott. / Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis. In: Frontiers in Neurology. 2018 ; Vol. 8.
@article{30a4e29248e84e569449a8570e8602f6,
title = "Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis",
abstract = "Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS.",
keywords = "Multiple sclerosis, gait, balance",
author = "Shanahan, {Camille J} and Boonstra, {Frederique M. C.} and {Cofr{\'e} Lizama}, {L. Eduardo} and Myrte Strik and Moffat, {Bradford A} and Fary Khan and Kilpatrick, {Trevor J} and {Van Der Walt}, Anneke and Galea, {Mary P.} and Scott Kolbe",
year = "2018",
month = "2",
doi = "10.3389/fneur.2017.00708",
language = "English",
volume = "8",
journal = "Frontiers in Neurology",
issn = "1664-2295",
publisher = "Frontiers Media",

}

Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis. / Shanahan, Camille J; Boonstra, Frederique M. C.; Cofré Lizama, L. Eduardo; Strik, Myrte; Moffat, Bradford A; Khan, Fary; Kilpatrick, Trevor J; Van Der Walt, Anneke; Galea, Mary P.; Kolbe, Scott.

In: Frontiers in Neurology, Vol. 8, 708, 02.2018.

Research output: Contribution to journalReview ArticleResearchpeer-review

TY - JOUR

T1 - Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis

AU - Shanahan, Camille J

AU - Boonstra, Frederique M. C.

AU - Cofré Lizama, L. Eduardo

AU - Strik, Myrte

AU - Moffat, Bradford A

AU - Khan, Fary

AU - Kilpatrick, Trevor J

AU - Van Der Walt, Anneke

AU - Galea, Mary P.

AU - Kolbe, Scott

PY - 2018/2

Y1 - 2018/2

N2 - Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS.

AB - Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS.

KW - Multiple sclerosis

KW - gait

KW - balance

U2 - 10.3389/fneur.2017.00708

DO - 10.3389/fneur.2017.00708

M3 - Review Article

VL - 8

JO - Frontiers in Neurology

JF - Frontiers in Neurology

SN - 1664-2295

M1 - 708

ER -