A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors

Author:

Yu Xiaoqun,Qiu Hai,Xiong Shuping

Funder

National Research Foundation of Korea

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference37 articles.

1. Evaluation of inertial sensor-based pre-impact fall detection algorithms using public dataset.;Ahn;Sensors,2019

2. The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data;Aziz;Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference,2014

3. Evaluation measures for models assessment over imbalanced data sets.;Bekkar;J. Inform. Eng. Appl.,2013

4. Falls and fall injuries among adults aged ≥ 65 years—United States, 2014.;Bergen;MMWR,2016

5. The direct costs of fatal and non-fatal falls among older adults—United States.;Burns;J. Saf. Res.,2016

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