Deep mining neurological abnormalities from brain signal data

从大脑信号数据中深度挖掘神经异常

• 批准号: LP170100934
• 负责人: Prof Hua Wang
• 金额: $ 26.16万
• 依托单位: Victoria University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-12-01 至 2022-11-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP170100934
• 关键词: Deep; mining; neurological; abnormalities; brain

This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to significant improvement of existing methods in health monitoring applications in Australia and worldwide and hence will save lives, money and resources.

该项目旨在开发一个可靠、健壮和实时的分析系统，用于自动和准确地检测神经异常，并根据脑信号数据预测即将出现的神经问题。该项目希望为大脑信号处理、数据压缩以及从海量大脑信号数据中检测和预测神经异常设计新的算法。该项目将极大地改进澳大利亚和全世界健康监测应用的现有方法，从而节省生命、资金和资源。