| 卡尔曼滤波器在海马场电位ripple节律分析中的应用 |
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| 引用本文： | 张栌,林龙年.卡尔曼滤波器在海马场电位ripple节律分析中的应用[J].华东师范大学学报(自然科学版),2011,2011(6):81-88. |
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| 作者姓名： | 张栌 林龙年 |
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| 作者单位： | 华东师范大学脑功能基因组学教育部、上海市重点实验室,上海,200062 |
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| 基金项目： | 上海市教育委员会科研创新项目(09ZZ44);国家自然科学基金重大项目(30990262) |
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| 摘 要： | 利用自适应自回归(adaptive autoregressive,AAR)模型和卡尔曼滤波器算法,分析小鼠海马CA1区场电位ripple高频振荡的时频特性.研究发现,与传统的基于短时傅立叶变换的实时频谱分析方法相比,利用AAR模型以及卡尔曼滤波器算法的参数化方法在对ripple高频振荡信号进行实时频谱分析时,具有更高的...
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| 关 键 词： | 卡尔曼滤波器 海马CA1区 ripple 实时频谱分析 |
| 收稿时间： | 2010-11-1 |
| 修稿时间： | 2011-1-1 |
Analysis of hippocampal ripple osillations by application of Kalman filter |
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| ZHANG Lu
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LIN Long-nian.Analysis of hippocampal ripple osillations by application of Kalman filter[J].Journal of East China Normal University(Natural Science),2011,2011(6):81-88. |
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| Authors: | ZHANG Lu LIN Long-nian |
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| Institution: | Key Laboratory of Brain Functional Genomics, Ministry of Education and Shanghai, Institute of Brain Functional Genomics, East China Normal University, Shanghai 200062, China |
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| Abstract: | This paper studied high frequency ripple (100~200 Hz) oscillations in hippocanpal CA1 area by applications of adaptive autoregressive (AAR) model and Kalman filter. Compared with traditional real time frequency analysis of time seies based on short term Fourier transfrom (STFT), improved time and frequency resolutions in time-frequency representation could be achieved by parametric methold obtained by AAR model and Kalman filter algorithms. Thus, the occurance of ripple oscillations and the variation of ripple power could be addresed more accurate by Kalman filter than that of STFT. |
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| Keywords: | Kalman filter|hippocampal CA1|ripple|real-time frequency analysis |
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