Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running
Abstract Optical motion capture (OMC) is considered the best available method for measuring spine kinematics, yet inertial measurement units (IMU) have the potential to collect data outside the laboratory. When combined with musculoskeletal modeling, IMU technology may be used to estimate spinal loa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-50652-w |
| _version_ | 1797363400442904576 |
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| author | Benjamin E. Sibson Jacob J. Banks Ali Yawar Andrew K. Yegian Dennis E. Anderson Daniel E. Lieberman |
| author_facet | Benjamin E. Sibson Jacob J. Banks Ali Yawar Andrew K. Yegian Dennis E. Anderson Daniel E. Lieberman |
| author_sort | Benjamin E. Sibson |
| collection | DOAJ |
| description | Abstract Optical motion capture (OMC) is considered the best available method for measuring spine kinematics, yet inertial measurement units (IMU) have the potential to collect data outside the laboratory. When combined with musculoskeletal modeling, IMU technology may be used to estimate spinal loads in real-world settings. To date, IMUs have not been validated for estimates of spinal movement and loading during both walking and running. Using OpenSim Thoracolumbar Spine and Ribcage models, we compare IMU and OMC estimates of lumbosacral (L5/S1) and thoracolumbar (T12/L1) joint angles, moments, and reaction forces during gait across six speeds for five participants. For comparisons, time series are ensemble averaged over strides. Comparisons between IMU and OMC ensemble averages have low normalized root mean squared errors (< 0.3 for 81% of comparisons) and high, positive cross-correlations (> 0.5 for 91% of comparisons), suggesting signals are similar in magnitude and trend. As expected, joint moments and reaction forces are higher during running than walking for IMU and OMC. Relative to OMC, IMU overestimates joint moments and underestimates joint reaction forces by 20.9% and 15.7%, respectively. The results suggest using a combination of IMU technology and musculoskeletal modeling is a valid means for estimating spinal movement and loading. |
| first_indexed | 2024-03-08T16:20:51Z |
| format | Article |
| id | doaj.art-dc99f81851124f80824be199a6149451 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-08T16:20:51Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-dc99f81851124f80824be199a61494512024-01-07T12:24:33ZengNature PortfolioScientific Reports2045-23222024-01-0114111710.1038/s41598-023-50652-wUsing inertial measurement units to estimate spine joint kinematics and kinetics during walking and runningBenjamin E. Sibson0Jacob J. Banks1Ali Yawar2Andrew K. Yegian3Dennis E. Anderson4Daniel E. Lieberman5Department of Human Evolutionary Biology, Harvard UniversityCenter for Advanced Orthopedic Studies, Beth Israel Deaconess Medical CenterDepartment of Human Evolutionary Biology, Harvard UniversityDepartment of Human Evolutionary Biology, Harvard UniversityCenter for Advanced Orthopedic Studies, Beth Israel Deaconess Medical CenterDepartment of Human Evolutionary Biology, Harvard UniversityAbstract Optical motion capture (OMC) is considered the best available method for measuring spine kinematics, yet inertial measurement units (IMU) have the potential to collect data outside the laboratory. When combined with musculoskeletal modeling, IMU technology may be used to estimate spinal loads in real-world settings. To date, IMUs have not been validated for estimates of spinal movement and loading during both walking and running. Using OpenSim Thoracolumbar Spine and Ribcage models, we compare IMU and OMC estimates of lumbosacral (L5/S1) and thoracolumbar (T12/L1) joint angles, moments, and reaction forces during gait across six speeds for five participants. For comparisons, time series are ensemble averaged over strides. Comparisons between IMU and OMC ensemble averages have low normalized root mean squared errors (< 0.3 for 81% of comparisons) and high, positive cross-correlations (> 0.5 for 91% of comparisons), suggesting signals are similar in magnitude and trend. As expected, joint moments and reaction forces are higher during running than walking for IMU and OMC. Relative to OMC, IMU overestimates joint moments and underestimates joint reaction forces by 20.9% and 15.7%, respectively. The results suggest using a combination of IMU technology and musculoskeletal modeling is a valid means for estimating spinal movement and loading.https://doi.org/10.1038/s41598-023-50652-w |
| spellingShingle | Benjamin E. Sibson Jacob J. Banks Ali Yawar Andrew K. Yegian Dennis E. Anderson Daniel E. Lieberman Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running Scientific Reports |
| title | Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| title_full | Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| title_fullStr | Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| title_full_unstemmed | Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| title_short | Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| title_sort | using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running |
| url | https://doi.org/10.1038/s41598-023-50652-w |
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