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...

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Detalles Bibliográficos
Autores principales: Zhuang, Yiyang, Han, Taihao, Yang, Qingbo, O’Malley, Ryan, Kumar, Aditya, Gerald, Rex E., Huang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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