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.

该项目旨在产生全球脑网络建模和深度学习技术方面的新知识和工具。它解决了使用脑信号脑电图进行高级脑功能状态评估的重大问题。该项目应用全球大脑网络对整个大脑动态活动进行建模，并使用创新的深度学习方法实时评估意识、疲劳、睡眠、压力和抑郁等高级大脑功能及其逐步演化。预期结果是优化的大脑网络模型和平台技术。预期结果可用于大大提高一般社区的睡眠质量和生产力，以及工作场所和交通的安全。