de Gorostegui, A.; Zanin, M.; Martín-Gonzalo, J.-A.; López-López, J.; Gómez-Andrés, D.; Kiernan, D.; Rausell, E. 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. Sensors 2025, 25, 4235. https://doi.org/10.3390/s25134235

AMA Style

de Gorostegui A, Zanin M, Martín-Gonzalo J-A, López-López J, Gómez-Andrés D, Kiernan D, Rausell E. 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. Sensors. 2025; 25(13):4235. https://doi.org/10.3390/s25134235

Chicago/Turabian Style

de Gorostegui, Alfonso, Massimiliano Zanin, Juan-Andrés Martín-Gonzalo, Javier López-López, David Gómez-Andrés, Damien Kiernan, and Estrella Rausell. 2025. "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" Sensors 25, no. 13: 4235. https://doi.org/10.3390/s25134235

APA Style

de Gorostegui, A., Zanin, M., Martín-Gonzalo, J.-A., López-López, J., Gómez-Andrés, D., Kiernan, D., & Rausell, E. (2025). 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. Sensors, 25(13), 4235. https://doi.org/10.3390/s25134235

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