Wearable airbag technology and machine learned models to mitigate falls after stroke

Wearable airbag technology and machine learned models to mitigate falls after stroke

Abstract Background Falls are a common complication experienced after a stroke and can cause serious detriments to physical health and social mobility, necessitating a dire need for intervention. Among recent advancements, wearable airbag technology has been designed to detect and mitigate fall impa...

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Bibliographic Details
Main Authors: Olivia K. Botonis, Yaar Harari, Kyle R. Embry, Chaithanya K. Mummidisetty, David Riopelle, Matt Giffhorn, Mark V. Albert, Vallery Heike, Arun Jayaraman
Format: Article
Language:English
Published: BMC 2022-06-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Pre-impact fall detection
Fall mitigation
Machine-learning
Wearable sensors
Stroke
Injury prevention
Online Access:https://doi.org/10.1186/s12984-022-01040-4

Internet

https://doi.org/10.1186/s12984-022-01040-4

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