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A Fiber-Optic Sensor-Embedded and Machine Learning Assisted Smart Helmet for Multi-Variable Blunt Force Impact Sensing in Real Time
Early on-site diagnosis of mild traumatic brain injury (mTBI) will provide the best guidance for clinical practice. However, existing methods and sensors cannot provide sufficiently detailed physical information related to the blunt force impact. In the present work, a smart helmet with a single emb...
Autores principales: | Zhuang, Yiyang, Han, Taihao, Yang, Qingbo, O’Malley, Ryan, Kumar, Aditya, Gerald, Rex E., Huang, Jie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775411/ https://www.ncbi.nlm.nih.gov/pubmed/36551126 http://dx.doi.org/10.3390/bios12121159 |
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