Human Gait Analysis Metric for Gait Retraining
Joint Authors
Ramakrishnan, Tyagi
Kim, Seok Hun
Reed, Kyle B.
Source
Applied Bionics and Biomechanics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion.
The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted.
It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries.
It can also combine subsets of the different gait parameters to provide a more thorough analysis.
The single number quantifying gait could assist robotic rehabilitation methods to optimize the resulting gait patterns.
CGAM will help define quantitative thresholds for achievable balanced overall gait asymmetry.
The study presented here compares the combined gait parameters with clinical measures such as timed up and go (TUG), six-minute walk test (6MWT), and gait velocity.
The comparisons are made on gait data collected on individuals with stroke before and after twelve sessions of rehabilitation.
Step length, step time, and swing time showed a strong correlation to CGAM, but the double limb support asymmetry has nearly no correlation with CGAM and ground reaction force asymmetry has a weak correlation.
The CGAM scores were moderately correlated with TUG and strongly correlated to 6MWT and gait velocity.
American Psychological Association (APA)
Ramakrishnan, Tyagi& Kim, Seok Hun& Reed, Kyle B.. 2019. Human Gait Analysis Metric for Gait Retraining. Applied Bionics and Biomechanics،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1114563
Modern Language Association (MLA)
Ramakrishnan, Tyagi…[et al.]. Human Gait Analysis Metric for Gait Retraining. Applied Bionics and Biomechanics No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1114563
American Medical Association (AMA)
Ramakrishnan, Tyagi& Kim, Seok Hun& Reed, Kyle B.. Human Gait Analysis Metric for Gait Retraining. Applied Bionics and Biomechanics. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1114563
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114563