Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults
Abstract Gait biofeedback is a well-studied strategy to reduce gait impairments such as propulsion deficits or asymmetric step lengths. With biofeedback, participants alter their walking to reach the desired magnitude of a specific parameter (the biofeedback target) with each step. Biofeedback of an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35317-y |
| _version_ | 1797822884994875392 |
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| author | Maryana Bonilla Yanez Sarah A. Kettlety James M. Finley Nicolas Schweighofer Kristan A. Leech |
| author_facet | Maryana Bonilla Yanez Sarah A. Kettlety James M. Finley Nicolas Schweighofer Kristan A. Leech |
| author_sort | Maryana Bonilla Yanez |
| collection | DOAJ |
| description | Abstract Gait biofeedback is a well-studied strategy to reduce gait impairments such as propulsion deficits or asymmetric step lengths. With biofeedback, participants alter their walking to reach the desired magnitude of a specific parameter (the biofeedback target) with each step. Biofeedback of anterior ground reaction force and step length is commonly used in post-stroke gait training as these variables are associated with self-selected gait speed, fall risk, and the energy cost of walking. However, biofeedback targets are often set as a function of an individual’s baseline walking pattern, which may not reflect the ideal magnitude of that gait parameter. Here we developed prediction models based on speed, leg length, mass, sex, and age to predict anterior ground reaction force and step length of neurotypical adults as a possible method for personalized biofeedback. Prediction of these values on an independent dataset demonstrated strong agreement with actual values, indicating that neurotypical anterior ground reaction forces can be estimated from an individual’s leg length, mass, and gait speed, and step lengths can be estimated from individual’s leg length, mass, age, sex, and gait speed. Unlike approaches that rely on an individual’s baseline gait, this approach provides a standardized method to personalize gait biofeedback targets based on the walking patterns exhibited by neurotypical individuals with similar characteristics walking at similar speeds without the risk of over- or underestimating the ideal values that could limit feedback-mediated reductions in gait impairments. |
| first_indexed | 2024-03-13T10:15:54Z |
| format | Article |
| id | doaj.art-8ee42423eab8473ca4850e76505687de |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T10:15:54Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8ee42423eab8473ca4850e76505687de2023-05-21T11:15:07ZengNature PortfolioScientific Reports2045-23222023-05-0113111010.1038/s41598-023-35317-yGait speed and individual characteristics are related to specific gait metrics in neurotypical adultsMaryana Bonilla Yanez0Sarah A. Kettlety1James M. Finley2Nicolas Schweighofer3Kristan A. Leech4Division of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaDivision of Biokinesiology and Physical Therapy, University of Southern CaliforniaAbstract Gait biofeedback is a well-studied strategy to reduce gait impairments such as propulsion deficits or asymmetric step lengths. With biofeedback, participants alter their walking to reach the desired magnitude of a specific parameter (the biofeedback target) with each step. Biofeedback of anterior ground reaction force and step length is commonly used in post-stroke gait training as these variables are associated with self-selected gait speed, fall risk, and the energy cost of walking. However, biofeedback targets are often set as a function of an individual’s baseline walking pattern, which may not reflect the ideal magnitude of that gait parameter. Here we developed prediction models based on speed, leg length, mass, sex, and age to predict anterior ground reaction force and step length of neurotypical adults as a possible method for personalized biofeedback. Prediction of these values on an independent dataset demonstrated strong agreement with actual values, indicating that neurotypical anterior ground reaction forces can be estimated from an individual’s leg length, mass, and gait speed, and step lengths can be estimated from individual’s leg length, mass, age, sex, and gait speed. Unlike approaches that rely on an individual’s baseline gait, this approach provides a standardized method to personalize gait biofeedback targets based on the walking patterns exhibited by neurotypical individuals with similar characteristics walking at similar speeds without the risk of over- or underestimating the ideal values that could limit feedback-mediated reductions in gait impairments.https://doi.org/10.1038/s41598-023-35317-y |
| spellingShingle | Maryana Bonilla Yanez Sarah A. Kettlety James M. Finley Nicolas Schweighofer Kristan A. Leech Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults Scientific Reports |
| title | Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| title_full | Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| title_fullStr | Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| title_full_unstemmed | Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| title_short | Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| title_sort | gait speed and individual characteristics are related to specific gait metrics in neurotypical adults |
| url | https://doi.org/10.1038/s41598-023-35317-y |
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