Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes

Dinov Martin

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Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes

机译：使用动态时间扭曲来量化EEG时间序列预测期间正弦振荡偏差的影响，并发现有趣的EEG和fMRI变化

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《BMC Neuroscience》 |2015年第1期|共页
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Dinov Martin;
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中图分类人类学;
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3. EEG time-warping to study non-strictly-periodic EEG signals related to the production of rhythmic movements [J] . Chemin B., Huang G., Mulders D., Journal of Neuroscience Methods . 2018,第期

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4. Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction [C] . Lei Zhang IEEE International Conference on Machine Learning and Applications . 2018

机译：具有单个时间序列输入和多个时间序列输出的Lorenz混沌系统人工神经网络训练用于脑电预测
5. Forecasting the Neural Time Series: Deep Neural Networks for Predicting Event-related EEG Responses [D] . Ibagon, Gabriel. 2018

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6. Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes [O] . Dinov Martin 2015

机译：使用动态时间扭曲来量化EEG时间序列预测期间的正弦振荡偏差影响并发现有趣的EEG和fMRI变化
7. Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes [O] . Dinov Martin 2015

机译：使用动态时间扭曲来量化EEG时间序列预测期间的正弦振荡偏差影响，并发现有趣的EEG和fMRI变化
8. Emotion Regulation Training for Treating Warfighters with Combat RelatedPTSD Using Real Time fMRI and EEG Assisted Neurofeedback. [R] . Bodurka, J. 2017

机译：使用实时fmRI和EEG辅助神经反馈治疗与战斗相关的战斗人员的情绪调节训练。

Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes

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