Prediction of epilepsy seizure onset using nonlinear analysis of EEG recordings

使用脑电图记录的非线性分析预测癫痫发作

• 批准号: LP0560684
• 负责人: Prof Iven Mareels
• 金额: $ 33.55万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-16 至 2010-07-07
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0560684
• 关键词: Prediction; epilepsy; seizure; onset; using

This project will develop the theory and algorithms for reliable and robust prediction of the onset of epileptic seizures and the characterisation of epileptic seizures based on EEG data. Our interdisciplinary team consists of neuroscientists and systems engineers supported with clinicians and software developers. The team will develop the theory and design, implement and evaluate decision support software that is able to interpret eeg data and present epilepsy relevant information to clinicians and patients. Our methods are based on statistical signal processing, nonlinear dynamics (bifurcation and time-series methods) and systems engineering (system identification, adaptive methods).

该项目将开发理论和算法，用于可靠和鲁棒地预测癫痫发作的发作和基于EEG数据的癫痫发作的表征。我们的跨学科团队由神经科学家和系统工程师组成，并得到临床医生和软件开发人员的支持。该团队将开发理论和设计，实施和评估决策支持软件，能够解释脑电图数据和癫痫相关信息呈现给临床医生和患者。我们的方法是基于统计信号处理，非线性动力学（分叉和时间序列方法）和系统工程（系统识别，自适应方法）。