Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.
Saved in:
| Title: | Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review. |
|---|---|
| Authors: | Camomilla, Valentina valentina.camomilla@uniroma4.it, Cereatti, Andrea acereatti@uniss.it, Cutti, Andrea1 ag.cutti@inail.it, Fantozzi, Silvia2 silvia.fantozzi@unibo.it, Stagni, Rita2 rita.stagni@unibo.it, Vannozzi, Giuseppe giuseppe.vannozzi@uniroma4.it, Cutti, Andrea Giovanni3 (AUTHOR) |
| Source: | BioMedical Engineering OnLine. 8/18/2017, Vol. 16 Issue 1, p1-27. 27p. |
| Subjects: | Medical function tests, Functional assessment, Drug development, Kinematics, Medical photography, Photogrammetry, Joint physiology, Joints (Anatomy), Gait in humans, Mechanics (Physics), Systematic reviews, Anatomy |
| Abstract: | Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice. [ABSTRACT FROM AUTHOR] |
| Copyright of BioMedical Engineering OnLine is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 124726320 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Camomilla%2C+Valentina%22">Camomilla, Valentina</searchLink><i> valentina.camomilla@uniroma4.it</i><br /><searchLink fieldCode="AR" term="%22Cereatti%2C+Andrea%22">Cereatti, Andrea</searchLink><i> acereatti@uniss.it</i><br /><searchLink fieldCode="AR" term="%22Cutti%2C+Andrea%22">Cutti, Andrea</searchLink><relatesTo>1</relatesTo><i> ag.cutti@inail.it</i><br /><searchLink fieldCode="AR" term="%22Fantozzi%2C+Silvia%22">Fantozzi, Silvia</searchLink><relatesTo>2</relatesTo><i> silvia.fantozzi@unibo.it</i><br /><searchLink fieldCode="AR" term="%22Stagni%2C+Rita%22">Stagni, Rita</searchLink><relatesTo>2</relatesTo><i> rita.stagni@unibo.it</i><br /><searchLink fieldCode="AR" term="%22Vannozzi%2C+Giuseppe%22">Vannozzi, Giuseppe</searchLink><i> giuseppe.vannozzi@uniroma4.it</i><br /><searchLink fieldCode="AR" term="%22Cutti%2C+Andrea+Giovanni%22">Cutti, Andrea Giovanni</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BioMedical+Engineering+OnLine%22">BioMedical Engineering OnLine</searchLink>. 8/18/2017, Vol. 16 Issue 1, p1-27. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Medical+function+tests%22">Medical function tests</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+assessment%22">Functional assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+development%22">Drug development</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+photography%22">Medical photography</searchLink><br /><searchLink fieldCode="DE" term="%22Photogrammetry%22">Photogrammetry</searchLink><br /><searchLink fieldCode="DE" term="%22Joint+physiology%22">Joint physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Joints+%28Anatomy%29%22">Joints (Anatomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Gait+in+humans%22">Gait in humans</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanics+%28Physics%29%22">Mechanics (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Anatomy%22">Anatomy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of BioMedical Engineering OnLine is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=124726320 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12938-017-0396-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Subjects: – SubjectFull: Medical function tests Type: general – SubjectFull: Functional assessment Type: general – SubjectFull: Drug development Type: general – SubjectFull: Kinematics Type: general – SubjectFull: Medical photography Type: general – SubjectFull: Photogrammetry Type: general – SubjectFull: Joint physiology Type: general – SubjectFull: Joints (Anatomy) Type: general – SubjectFull: Gait in humans Type: general – SubjectFull: Mechanics (Physics) Type: general – SubjectFull: Systematic reviews Type: general – SubjectFull: Anatomy Type: general Titles: – TitleFull: Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Camomilla, Valentina – PersonEntity: Name: NameFull: Cereatti, Andrea – PersonEntity: Name: NameFull: Cutti, Andrea – PersonEntity: Name: NameFull: Fantozzi, Silvia – PersonEntity: Name: NameFull: Stagni, Rita – PersonEntity: Name: NameFull: Vannozzi, Giuseppe – PersonEntity: Name: NameFull: Cutti, Andrea Giovanni IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 08 Text: 8/18/2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 1475925X Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: BioMedical Engineering OnLine Type: main |
| ResultId | 1 |
