Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan
Abstract The real-world measurement of minimum foot clearance (mFC) during the swing phase of gait is critical in efforts to understand and reduce the risk of trip-and-fall incidents in populations with gait impairments. Past research has focused on measuring clearance of a single point on a person’...
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Nature Portfolio
2024-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-63124-6 |
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| author | Katherine Heidi Fehr Jennifer Nicole Bartloff Yisen Wang Scott Hetzel Peter G. Adamczyk |
| author_facet | Katherine Heidi Fehr Jennifer Nicole Bartloff Yisen Wang Scott Hetzel Peter G. Adamczyk |
| author_sort | Katherine Heidi Fehr |
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| description | Abstract The real-world measurement of minimum foot clearance (mFC) during the swing phase of gait is critical in efforts to understand and reduce the risk of trip-and-fall incidents in populations with gait impairments. Past research has focused on measuring clearance of a single point on a person’s foot, typically the toe—however, this may overestimate mFC and may even be the wrong region of the foot in cases of gait impairments or interventions. In this work, we present a novel method to reconstruct the swing-phase trajectory of an arbitrary number of points on a person’s shoe and estimate the instantaneous height and location of whole-foot mFC. This is achieved using a single foot-mounted inertial sensor and personalized shoe geometry scan, assuming a rigid-body IMU-shoe system. This combination allows collection and analysis using out-of-lab tests, potentially including clinical environments. Validation of single marker location using the proposed method vs. motion capture showed height errors with bias less than 0.05 mm, and 95% confidence interval of − 8.18 to + 8.09 mm. The method is demonstrated in an example data set comparing different interventions for foot drop, and it shows clear differences among no intervention, functional electrical stimulation, and ankle–foot orthosis conditions. This method offers researchers and clinicians a rich understanding of a person’s gait by providing objective 3D foot kinematics and allowing a unique opportunity to view the regions of the foot where minimum clearance occurs. This information can contribute to a more informed recommendation of specific interventions or assistive technology than is currently possible in standard clinical practice. |
| format | Article |
| id | doaj-art-919cf65a1fc346409377facabc39351a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-919cf65a1fc346409377facabc39351a2025-01-19T12:24:55ZengNature PortfolioScientific Reports2045-23222024-06-0114111110.1038/s41598-024-63124-6Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scanKatherine Heidi Fehr0Jennifer Nicole Bartloff1Yisen Wang2Scott Hetzel3Peter G. Adamczyk4Mechanical Engineering Department, University of Wisconsin-MadisonMechanical Engineering Department, University of Wisconsin-MadisonMechanical Engineering Department, University of Wisconsin-MadisonDepartment of Biostatistics and Medical Informatics, University of Wisconsin-MadisonMechanical Engineering Department, University of Wisconsin-MadisonAbstract The real-world measurement of minimum foot clearance (mFC) during the swing phase of gait is critical in efforts to understand and reduce the risk of trip-and-fall incidents in populations with gait impairments. Past research has focused on measuring clearance of a single point on a person’s foot, typically the toe—however, this may overestimate mFC and may even be the wrong region of the foot in cases of gait impairments or interventions. In this work, we present a novel method to reconstruct the swing-phase trajectory of an arbitrary number of points on a person’s shoe and estimate the instantaneous height and location of whole-foot mFC. This is achieved using a single foot-mounted inertial sensor and personalized shoe geometry scan, assuming a rigid-body IMU-shoe system. This combination allows collection and analysis using out-of-lab tests, potentially including clinical environments. Validation of single marker location using the proposed method vs. motion capture showed height errors with bias less than 0.05 mm, and 95% confidence interval of − 8.18 to + 8.09 mm. The method is demonstrated in an example data set comparing different interventions for foot drop, and it shows clear differences among no intervention, functional electrical stimulation, and ankle–foot orthosis conditions. This method offers researchers and clinicians a rich understanding of a person’s gait by providing objective 3D foot kinematics and allowing a unique opportunity to view the regions of the foot where minimum clearance occurs. This information can contribute to a more informed recommendation of specific interventions or assistive technology than is currently possible in standard clinical practice.https://doi.org/10.1038/s41598-024-63124-6 |
| spellingShingle | Katherine Heidi Fehr Jennifer Nicole Bartloff Yisen Wang Scott Hetzel Peter G. Adamczyk Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan Scientific Reports |
| title | Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan |
| title_full | Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan |
| title_fullStr | Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan |
| title_full_unstemmed | Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan |
| title_short | Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan |
| title_sort | estimation of minimum foot clearance using a single foot mounted inertial sensor and personalized foot geometry scan |
| url | https://doi.org/10.1038/s41598-024-63124-6 |
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