Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders

MLA

Rana Zia Ur Rehman, et al. “Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.” Sensors, vol. 20, no. 23, Dec. 2020, p. 6992. EBSCOhost, https://doi.org/10.3390/s20236992.

APA

Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, Lisa Alcock, Clint Hansen, Yu Guan, Tibor Hortobágyi, Walter Maetzler, Lynn Rochester, & Claudine J. C. Lamoth. (2020). Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders. Sensors, 20(23), 6992. https://doi.org/10.3390/s20236992

Chicago

Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, Lisa Alcock, Clint Hansen, Yu Guan, Tibor Hortobágyi, Walter Maetzler, Lynn Rochester, and Claudine J. C. Lamoth. 2020. “Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.” Sensors 20 (23): 6992. doi:10.3390/s20236992.