Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis
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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-02-01
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| Series: | Frontiers in Neurology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fneur.2017.00708/full |
| _version_ | 1818262720579895296 |
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| author | Camille J. Shanahan Frederique M. C. Boonstra L. Eduardo Cofré Lizama L. Eduardo Cofré Lizama Myrte Strik Myrte Strik Bradford A. Moffat Fary Khan Fary Khan Trevor J. Kilpatrick Trevor J. Kilpatrick Anneke van der Walt Mary P. Galea Mary P. Galea Scott C. Kolbe Scott C. Kolbe |
| author_facet | Camille J. Shanahan Frederique M. C. Boonstra L. Eduardo Cofré Lizama L. Eduardo Cofré Lizama Myrte Strik Myrte Strik Bradford A. Moffat Fary Khan Fary Khan Trevor J. Kilpatrick Trevor J. Kilpatrick Anneke van der Walt Mary P. Galea Mary P. Galea Scott C. Kolbe Scott C. Kolbe |
| author_sort | Camille J. Shanahan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T19:07:37Z |
| format | Article |
| id | doaj.art-1c080ee168b9426ebc294ec61dadc6d8 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-12T19:07:37Z |
| publishDate | 2018-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-1c080ee168b9426ebc294ec61dadc6d82022-12-22T00:14:56ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-02-01810.3389/fneur.2017.00708307865Technologies for Advanced Gait and Balance Assessments in People with Multiple SclerosisCamille J. Shanahan0Frederique M. C. Boonstra1L. Eduardo Cofré Lizama2L. Eduardo Cofré Lizama3Myrte Strik4Myrte Strik5Bradford A. Moffat6Fary Khan7Fary Khan8Trevor J. Kilpatrick9Trevor J. Kilpatrick10Anneke van der Walt11Mary P. Galea12Mary P. Galea13Scott C. Kolbe14Scott C. Kolbe15Department of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaDepartment of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaDepartment of Medicine, University of Melbourne, Parkville, VIC, AustraliaAustralian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, VIC, AustraliaDepartment of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaDepartment of Anatomy and Neuroscience, VU Medical Centre, Amsterdam, NetherlandsDepartment of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaDepartment of Medicine, University of Melbourne, Parkville, VIC, AustraliaAustralian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, VIC, AustraliaDepartment of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaFlorey Institute of Neuroscience and Mental Health, Parkville, VIC, AustraliaDepartment of Medicine, University of Melbourne, Parkville, VIC, AustraliaDepartment of Medicine, University of Melbourne, Parkville, VIC, AustraliaAustralian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, VIC, AustraliaDepartment of Anatomy and Neuroscience, University of Melbourne, Parkville, VIC, AustraliaFlorey Institute of Neuroscience and Mental Health, Parkville, VIC, AustraliaSubtle 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.http://journal.frontiersin.org/article/10.3389/fneur.2017.00708/fullmultiple sclerosismobility lossgaitbalancebiomechanics |
| spellingShingle | Camille J. Shanahan Frederique M. C. Boonstra L. Eduardo Cofré Lizama L. Eduardo Cofré Lizama Myrte Strik Myrte Strik Bradford A. Moffat Fary Khan Fary Khan Trevor J. Kilpatrick Trevor J. Kilpatrick Anneke van der Walt Mary P. Galea Mary P. Galea Scott C. Kolbe Scott C. Kolbe Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis Frontiers in Neurology multiple sclerosis mobility loss gait balance biomechanics |
| title | Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis |
| title_full | Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis |
| title_fullStr | Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis |
| title_full_unstemmed | Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis |
| title_short | Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis |
| title_sort | technologies for advanced gait and balance assessments in people with multiple sclerosis |
| topic | multiple sclerosis mobility loss gait balance biomechanics |
| url | http://journal.frontiersin.org/article/10.3389/fneur.2017.00708/full |
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