A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass
Human locomotion involves the modulation of whole-body mechanical energy, which can be approximated by the motion dynamics at the body’s center of mass (BCOM). This study introduces a new method to measure gait efficiency based on BCOM oscillatory kinetic energy patterns using a single inertia measu...
| Published in: | Sensors |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/22/8656 |
| _version_ | 1850095492236574720 |
|---|---|
| author | Derek Cheung Jeff Cheung Vicky Cheung Li Jin |
| author_facet | Derek Cheung Jeff Cheung Vicky Cheung Li Jin |
| author_sort | Derek Cheung |
| collection | DOAJ |
| container_title | Sensors |
| description | Human locomotion involves the modulation of whole-body mechanical energy, which can be approximated by the motion dynamics at the body’s center of mass (BCOM). This study introduces a new method to measure gait efficiency based on BCOM oscillatory kinetic energy patterns using a single inertia measurement unit (IMU). Forty-seven participants completed an overground walk test at a self-selected speed. The average oscillatory energy (OE) at BCOM during walking was derived from measured acceleration data. The total OE showed a positive correlation with forward-walking velocity. The ratio of total OE to constant forward kinetic energy for healthy adults varied from ~1–5%, which can be considered the percent of oscillatory energy required to maintain gait posture for a given forward-walking velocity. Mathematically, this ratio is proportional to the square of the periodic peak-to-peak displacement of BCOM. Individuals with gait impairments exhibited a higher percentage of oscillatory energy, typically >6%. This wearable IMU-based method has the potential to be an effective tool for the rapid, quantitative assessment of gait efficiency in clinical and rehabilitation settings. |
| format | Article |
| id | doaj-art-2e26fcaafe0f43efb0ba90beef0b592b |
| institution | Directory of Open Access Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-2e26fcaafe0f43efb0ba90beef0b592b2025-08-20T00:07:06ZengMDPI AGSensors1424-82202022-11-012222865610.3390/s22228656A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of MassDerek Cheung0Jeff Cheung1Vicky Cheung2Li Jin3Surge Motion Inc., Fremont, CA 94536, USASurge Motion Inc., Fremont, CA 94536, USASurge Motion Inc., Fremont, CA 94536, USABiomechanics Research Laboratory, Department of Kinesiology, San José State University, San José, CA 95192, USAHuman locomotion involves the modulation of whole-body mechanical energy, which can be approximated by the motion dynamics at the body’s center of mass (BCOM). This study introduces a new method to measure gait efficiency based on BCOM oscillatory kinetic energy patterns using a single inertia measurement unit (IMU). Forty-seven participants completed an overground walk test at a self-selected speed. The average oscillatory energy (OE) at BCOM during walking was derived from measured acceleration data. The total OE showed a positive correlation with forward-walking velocity. The ratio of total OE to constant forward kinetic energy for healthy adults varied from ~1–5%, which can be considered the percent of oscillatory energy required to maintain gait posture for a given forward-walking velocity. Mathematically, this ratio is proportional to the square of the periodic peak-to-peak displacement of BCOM. Individuals with gait impairments exhibited a higher percentage of oscillatory energy, typically >6%. This wearable IMU-based method has the potential to be an effective tool for the rapid, quantitative assessment of gait efficiency in clinical and rehabilitation settings.https://www.mdpi.com/1424-8220/22/22/8656IMUBCOMgait analysisoscillatory energyenergy partitioning |
| spellingShingle | Derek Cheung Jeff Cheung Vicky Cheung Li Jin A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass IMU BCOM gait analysis oscillatory energy energy partitioning |
| title | A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass |
| title_full | A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass |
| title_fullStr | A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass |
| title_full_unstemmed | A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass |
| title_short | A New Quantitative Gait Analysis Method Based on Oscillatory Mechanical Energies Measured near Body Center of Mass |
| title_sort | new quantitative gait analysis method based on oscillatory mechanical energies measured near body center of mass |
| topic | IMU BCOM gait analysis oscillatory energy energy partitioning |
| url | https://www.mdpi.com/1424-8220/22/22/8656 |
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