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Gait event detection using kinematic data in children with bilateral spastic cerebral palsy

dc.contributorUniversitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna
dc.contributor.authorGómez-Pérez, Cristina
dc.contributor.authorMartori, Joan Carles
dc.contributor.authorPuig-Diví, Albert
dc.contributor.authorMedina Casanovas, Josep
dc.contributor.authorVidal Samsó, Joan
dc.contributor.authorFont Llagunes, Josep Maria
dc.description.abstractBackground Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Ghoussayni's algorithm 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
dc.relation.ispartofClinical Biomechanics, 2021, vol. 90, 105492ca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights© L’autor/a
dc.subject.otherLocomoció humana -- Avaluacióca
dc.subject.otherInfants paralítics cerebralsca
dc.subject.otherMotricitat en els infantsca
dc.titleGait event detection using kinematic data in children with bilateral spastic cerebral palsyca
dc.titleGait event detection using kinematic data in children with bilateral spastic cerebral palsy

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