Classification of fall risk across the lifespan using gait derived features from a wearable device-Reference-Cited by-同舟云学术

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Classification of fall risk across the lifespan using gait derived features from a wearable device

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Sasso Grainger¹,Mou Lingxiao²,Hernandez Manuel E.³

Affiliation:

1. Carapace,USA

2. University of Michigan at Ann-Arbor,Department of Electrical Engineering and Computer Science,Ann Arbor,MI,USA,48109

3. University of Illinois at Urbana-Champaign,Beckman Institute,Department of Biomedical and Translational Sciences, Department of Kinesiology and Community Health,Urbana,IL,USA,61801

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340146.pdf?arnumber=10340146

Reference18 articles.

1. Keep on your feet—preventing older adult falls

2. Falls

3. Deaths from older adult falls

4. Detecting Falls with Wearable Sensors Using Machine Learning Techniques

5. Fall recognition using wearable technologies and machine learning algorithms

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