EEG Based Global Network Models and Platform for Brain States Assessment

该项目旨在为全球大脑网络建模和深度学习技术提供新的知识和工具。它解决了脑信号EEG在高级脑功能状态评估中的重要问题。该项目将全球大脑网络作为一个整体来模拟大脑动态活动，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。预期的结果可以应用于极大地提高一般社区的睡眠质量和生产力，以及工作场所和交通的安全性。

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.