Human Gait Analysis Metric for Gait Retraining
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 paramet...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2019/1286864 |
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| author | Tyagi Ramakrishnan Seok Hun Kim Kyle B. Reed |
| author_facet | Tyagi Ramakrishnan Seok Hun Kim Kyle B. Reed |
| author_sort | Tyagi Ramakrishnan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6018894c61664ccab05d925cfe2fff6c |
| institution | Kabale University |
| issn | 1176-2322 1754-2103 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-6018894c61664ccab05d925cfe2fff6c2025-02-03T05:47:55ZengWileyApplied Bionics and Biomechanics1176-23221754-21032019-01-01201910.1155/2019/12868641286864Human Gait Analysis Metric for Gait RetrainingTyagi Ramakrishnan0Seok Hun Kim1Kyle B. Reed2University of South Florida, USAUniversity of South Florida, USAUniversity of South Florida, USAThe 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.http://dx.doi.org/10.1155/2019/1286864 |
| spellingShingle | Tyagi Ramakrishnan Seok Hun Kim Kyle B. Reed Human Gait Analysis Metric for Gait Retraining Applied Bionics and Biomechanics |
| title | Human Gait Analysis Metric for Gait Retraining |
| title_full | Human Gait Analysis Metric for Gait Retraining |
| title_fullStr | Human Gait Analysis Metric for Gait Retraining |
| title_full_unstemmed | Human Gait Analysis Metric for Gait Retraining |
| title_short | Human Gait Analysis Metric for Gait Retraining |
| title_sort | human gait analysis metric for gait retraining |
| url | http://dx.doi.org/10.1155/2019/1286864 |
| work_keys_str_mv | AT tyagiramakrishnan humangaitanalysismetricforgaitretraining AT seokhunkim humangaitanalysismetricforgaitretraining AT kylebreed humangaitanalysismetricforgaitretraining |