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Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors
This study aimed to investigate the performance of an updated version of our pre-impact detection algorithm parsing out the output of a set of Inertial Measurement Units (IMUs) placed on lower limbs and designed to recognize signs of lack of balance due to tripping. Eight young subjects were asked t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749342/ https://www.ncbi.nlm.nih.gov/pubmed/31461908 http://dx.doi.org/10.3390/s19173713 |