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Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry
Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be of added value for the assessment of fall risk. Bod...
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Main Authors: | , , , , |
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格式: | Artigo |
語言: | Inglês |
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MDPI AG
2018-05-01
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叢編: | Sensors |
主題: | |
在線閱讀: | http://www.mdpi.com/1424-8220/18/5/1654 |
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