Optimization for Nonlinear Time Series and Forecast for Sleep

摘要：

It is important processes that phase-space diagram and computation of geometrical eigenvalues are reconstituted in nonlinear dynamical analysis. Its difficult to analyze nonlinear system such as EEG real-time because the algorithms of phase-space diagram reconstitution and geometrical eigenvalue computation are complex on both time and space. The algorithms were optimized to reduce their complexity, after that the algorithms were parallelized, at last the integrated algorithms running time is 1/30 of the running time before optimization and parallelization. It was found that the value of correlation dimension can reflect sleep stages after analyzing the sleep EEG, final sleep stages were also forecasted simply.

关键词： nonlinear system correlation dimension parallel computation sleep EEG forecast

作者: Chenxi Shao Xiaoxu He Songtao Tong Huiling Dou Ming Yang Zicai Wang

作者单位: Depatment of Computer Science and Technology,University of Science and Technology of China, 230027, Depatment of Computer Science and Technology,University of Science and Technology of China, 230027, Control & Simulation Center, Harbin Institute of Technology,150001, Harbin, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 597-603

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）