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Compressed Sensing Framework Applying Independent Component Analysis after Undersampling for Reconstructing Electroencephalogram Signals

机译：基于采样后的压缩传感框架应用独立分量分析，用于重建脑电图信号

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Daisuke KANEMOTO; Shun KATSUMATA; Masao AIHARA; Makoto OHKI;
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年度 2020
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1. An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals [J] . Rabab K. Ward, Simon Fauvel Sensors . 2014,第1期

机译：压缩脑电图信号的节能压缩感知框架
2. Identification and Classification of Electroencephalogram Signals Based on Independent Component Analysis [J] . Chao Zhang, Jing Xu, Su Pan, NeuroQuantology: an interdisciplinary journal of neuroscience and quantum physics . 2018,第5期

机译：基于独立分量分析的脑电信号识别与分类
3. Surface Laplacian of scalp electrical signals and independent component analysis resolve EMG contamination of electroencephalogram [J] . Fitzgibbon S. P., DeLosAngeles D., Lewis T. W., International journal of psychophysiology: official journal of the International Organization of Psychophysiology . 2015,第3期

机译：头皮电信号的表面拉普拉斯算子和独立成分分析解决了脑电图的肌电图污染
4. Framework of Applying Independent Component Analysis After Compressed Sensing for Electroencephalogram Signals [C] . Daisuke KANEMOTO, Shun KATSUMATA, Masao AIHARA, IEEE biomedical circuits and systems conference . 2018

机译：脑电信号压缩感知后应用独立成分分析的框架
5. Understanding the Practical Limitations of Applying Analog Compressed Sensing Systems to ECG Signals [D] . Dixon, Anna Marie Rogers 2012

机译：了解将模拟压缩传感系统应用于ECG信号的实际限制
6. An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals [O] . Simon Fauvel, Rabab K. Ward 2014

机译：压缩脑电图信号的节能压缩感知框架
7. An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals [O] . Simon Fauvel, Rabab K. Ward 2014

机译：一种用于压缩脑电信号的节能压缩感知框架

Compressed Sensing Framework Applying Independent Component Analysis after Undersampling for Reconstructing Electroencephalogram Signals

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