de Gorostegui, A.; Kiernan, D.; MartÃn-Gonzalo, J.-A.; López-López, J.; Pulido-Valdeolivas, I.; Rausell, E.; Zanin, M.; Gómez-Andrés, D.
Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories. Sensors 2025, 25, 110.
https://doi.org/10.3390/s25010110
AMA Style
de Gorostegui A, Kiernan D, MartÃn-Gonzalo J-A, López-López J, Pulido-Valdeolivas I, Rausell E, Zanin M, Gómez-Andrés D.
Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories. Sensors. 2025; 25(1):110.
https://doi.org/10.3390/s25010110
Chicago/Turabian Style
de Gorostegui, Alfonso, Damien Kiernan, Juan-Andrés MartÃn-Gonzalo, Javier López-López, Irene Pulido-Valdeolivas, Estrella Rausell, Massimiliano Zanin, and David Gómez-Andrés.
2025. "Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories" Sensors 25, no. 1: 110.
https://doi.org/10.3390/s25010110
APA Style
de Gorostegui, A., Kiernan, D., MartÃn-Gonzalo, J.-A., López-López, J., Pulido-Valdeolivas, I., Rausell, E., Zanin, M., & Gómez-Andrés, D.
(2025). Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories. Sensors, 25(1), 110.
https://doi.org/10.3390/s25010110
