Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
Background. Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Gait event detection using kinematic data in children with bilateral spastic cerebral palsy is an event detection method based on the sagittal plane velocity of h...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/359225 |
| Acceso en línea: | https://hdl.handle.net/2117/359225 https://dx.doi.org/10.1016/j.clinbiomech.2021.105492 |
| Access Level: | acceso abierto |
| Palabra clave: | Brain-damaged children Biomechanics Gait analysis Event detection Kinematics Child Spastic cerebral palsy Infants amb dany cerebral Biomecànica Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica::Cinemàtica Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica |
| Sumario: | Background. Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Gait event detection using kinematic data in children with bilateral spastic cerebral palsy is an event detection method based on the sagittal plane velocity of heel and toe markers. We aimed to evaluate whether Ghoussayni's algorithm, using two different thresholds, was a valid event detection method in children with bilateral spastic cerebral palsy. We also aimed to define a new adaptation of Ghoussayni's algorithm for detecting foot strike in cerebral palsy, and study the effect of event detection methods on spatiotemporal parameters. Methods. Synchronized kinematic and kinetic data were collected retrospectively from 16 children with bilateral spastic cerebral palsy (7 males and 9 females; age 8.9 ± 2.7 years) walking barefoot at self-selected speed. Gait events were detected using methods: 1) ground reaction forces, 2) Ghoussayni's algorithm with a threshold of 0.5 m/s, and 3) Ghoussayni's algorithm with a walking speed dependent threshold. The new adaptation distinguished how foot strikes were performed (heel and/or toe) comparing the timing when the foot markers velocities fell below the threshold. Differences between the three methods, and between spatiotemporal parameters calculated from the two Ghoussayni's thresholds were analyzed. Findings. There were statistically significant (P < 0.05) differences between methods 1 and 3, and between some spatiotemporal parameters calculated from methods 2 and 3. Ghoussayni's algorithm showed better performance for foot strike than for toe off. Interpretation. Ghoussayni's algorithm using 0.5 m/s is valid in children with bilateral spastic cerebral palsy. Event detection methods affect spatiotemporal parameters. |
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