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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Bibliographic Details
Main Authors: Yiyang Zhuang, Taihao Han, Qingbo Yang, Ryan O’Malley, Aditya Kumar, Rex E. Gerald, Jie Huang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/12/12/1159