LOCOMOTION
The role of augmented feedback in pediatric robotic-assisted gait training: A case series
Benjamin L. Patritti, Monica Sicari, Lynn C. Deming, Fernanda Romaguera, Marlena Pelliccio, Patrick Kasi, Maria Grazia Benedetti, Donna Nimec, Paolo Bonato
- Year
- 2010
- Citations
- 15
Abstract
Recent work has examined the feasibility of robotic-assisted gait training in pediatric patients, including children with cerebral palsy (CP). Herein we present a case series describing clinical outcomes in four children diagnosed with spastic dipleg
Keywords
GaitSeries (stratigraphy)Physical medicine and rehabilitationTraining (meteorology)Gait trainingComputer scienceArtificial intelligenceMedicinePhysical therapyRehabilitation
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002