EEG Based Global Network Models and Platform for Brain States Assessment

基于脑电图的大脑状态评估全球网络模型和平台

• 批准号: DP240102329
• 负责人: Prof Peng (Paul) Wen
• 金额: $ 36.91万
• 依托单位: University of Southern Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240102329
• 关键词: EEG; Based; Global; Network; Models

This project aims to generate new knowledge and tools in global brain network modelling and deep learning technology. It addresses the significant issues in higher brain function state assessment using brain signal EEG. The project applies global brain networks to model brain dynamical activities as a whole, and assesses higher brain functions such as consciousness, fatigue, sleep, stress and depression, and their step by step evolution in real-time using innovative deep learning approaches. The expected outcomes are optimised brain network models and a platform technology. The intended results can be applied to greatly improve the sleep quality and productivity of general community, and the safety of workplace and transportation.

该项目旨在在全球大脑网络建模和深度学习技术中生成新的知识和工具。它解决了使用大脑信号脑电图较高的大脑功能状态评估中的重要问题。该项目将全球大脑网络应用于整个大脑动力学活动，并评估诸如意识，疲劳，睡眠，压力和抑郁之类的更高的大脑功能，并使用创新的深度学习方法实时地实时演变。预期的结果是优化的大脑网络模型和平台技术。预期的结果可用于极大地提高一般社区的睡眠质量和生产力，以及工作场所和运输的安全。