Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditary Spastic Paraplegia

Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditary Spastic Paraplegia

The use of gait analysis to differentiate among paediatric populations with neurological and developmental conditions such as idiopathic toe walking (ITW), cerebral palsy (CP), and hereditary spastic paraplegia (HSP) remains challenging due to the insufficient precision of current diagnostic approac...

Full description

Saved in:
Bibliographic Details
Main Authors: Alfonso de Gorostegui, Massimiliano Zanin, Juan-Andrés Martín-Gonzalo, Javier López-López, David Gómez-Andrés, Damien Kiernan, Estrella Rausell
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
cerebral palsy
idiopathic toe walking
hereditary spastic paraplegia
deep learning
entropy
time irreversibility
Online Access:https://www.mdpi.com/1424-8220/25/13/4235
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items