Cargando…
Assessment System for Child Head Injury from Falls Based on Neural Network Learning
Toddlers face serious health hazards if they fall from relatively high places at home during everyday activities and are not swiftly rescued. Still, few effective, precise, and exhaustive solutions exist for such a task. This research aims to create a real-time assessment system for head injury from...
Autores principales: | Yang, Ziqian, Tsui, Baiyu, Wu, Zhihui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534444/ https://www.ncbi.nlm.nih.gov/pubmed/37765953 http://dx.doi.org/10.3390/s23187896 |
Ejemplares similares
-
Volleyball Movement Standardization Recognition Model Based on Convolutional Neural Network
por: Li, Baiyu, et al.
Publicado: (2023) -
Prediction model for the water jet falling point in fire extinguishing based on a GA-BP neural network
por: Zhang, ChaoYi, et al.
Publicado: (2019) -
A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks
por: Zhou, Chengquan, et al.
Publicado: (2020) -
Characteristics of fall‐related head injury versus non‐head injury in the older adults
por: Kim, Sun Hyu, et al.
Publicado: (2021) -
A Fall and Near-Fall Assessment and Evaluation System
por: Dinh, Anh, et al.
Publicado: (2009)