Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units.

Autor: Hauth J; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Jabri S; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Kamran F; Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Feleke EW; Department of Software Engineering, School of Information Technology and Scientific Computing, Addis Ababa Institute of Technology, Addis Ababa 1000, Ethiopia., Nigusie K; Department of Software Engineering, School of Information Technology and Scientific Computing, Addis Ababa Institute of Technology, Addis Ababa 1000, Ethiopia., Ojeda LV; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Handelzalts S; Department of Physical Therapy, Ben-Gurion University, Beer Sheva 8400711, Israel., Nyquist L; Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA., Alexander NB; Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.; VA Ann Arbor Healthcare System Geriatric Research Education and Clinical Center, Ann Arbor, MI 48105, USA., Huan X; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Wiens J; Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Sienko KH; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jul 07; Vol. 21 (14). Date of Electronic Publication: 2021 Jul 07.