Automated detection of real-world falls: modeled from people with multiple sclerosis - Mosquera-Lopez C, Wan E, Shastry M, Folsom J, Leitschuh J, Condon J, Rajhbeharrysingh U, Hildebrand A, Cameron MH, Jacobs PG.

Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an abse...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news