Cite
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson's Disease.
MLA
Castiglia, Stefano Filippo, et al. “Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease.” Sensors (14248220), vol. 23, no. 10, May 2023, p. 4983. EBSCOhost, https://doi.org/10.3390/s23104983.
APA
Castiglia, S. F., Trabassi, D., Conte, C., Ranavolo, A., Coppola, G., Sebastianelli, G., Abagnale, C., Barone, F., Bighiani, F., De Icco, R., Tassorelli, C., & Serrao, M. (2023). Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease. Sensors (14248220), 23(10), 4983. https://doi.org/10.3390/s23104983
Chicago
Castiglia, Stefano Filippo, Dante Trabassi, Carmela Conte, Alberto Ranavolo, Gianluca Coppola, Gabriele Sebastianelli, Chiara Abagnale, et al. 2023. “Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease.” Sensors (14248220) 23 (10): 4983. doi:10.3390/s23104983.