den Hartog, D.; van der Krogt, M.M.; van der Burg, S.; Aleo, I.; Gijsbers, J.; Bonouvrié, L.A.; Harlaar, J.; Buizer, A.I.; Haberfehlner, H.
Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study. Sensors 2022, 22, 4386.
https://doi.org/10.3390/s22124386
AMA Style
den Hartog D, van der Krogt MM, van der Burg S, Aleo I, Gijsbers J, Bonouvrié LA, Harlaar J, Buizer AI, Haberfehlner H.
Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study. Sensors. 2022; 22(12):4386.
https://doi.org/10.3390/s22124386
Chicago/Turabian Style
den Hartog, Dylan, Marjolein M. van der Krogt, Sven van der Burg, Ignazio Aleo, Johannes Gijsbers, Laura A. Bonouvrié, Jaap Harlaar, Annemieke I. Buizer, and Helga Haberfehlner.
2022. "Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study" Sensors 22, no. 12: 4386.
https://doi.org/10.3390/s22124386
APA Style
den Hartog, D., van der Krogt, M. M., van der Burg, S., Aleo, I., Gijsbers, J., Bonouvrié, L. A., Harlaar, J., Buizer, A. I., & Haberfehlner, H.
(2022). Home-Based Measurements of Dystonia in Cerebral Palsy Using Smartphone-Coupled Inertial Sensor Technology and Machine Learning: A Proof-of-Concept Study. Sensors, 22(12), 4386.
https://doi.org/10.3390/s22124386