| 1. | Artifacts removing techniques on eeg waveforms
波形伪迹去除方法 |
| 2. | A method of removal artifacts based on independent component analysis
基于独立成分分析的脑电伪迹消除方法 |
| 3. | The baseline artifact was generated by the patient ' s rubbing of his chest because of chest pain
由于胸痛患者按磨胸部而产生了基线的伪迹。 |
| 4. | Automatic removal of artifacts from eeg data using ica and nonlinear exponential analysis
基于独立元分析和非线性指数分析的脑电信号中伪迹分量的自动去除 |
| 5. | Motion artifact cancellation in electrogastrograms using reconstruction of the wavelet transform modulus maxima
小波变换模极大值重建方法消除胃电检测中的运动伪迹 |
| 6. | Once this kind of data is used to reconstruct the image directly , beam - hardening artifacts appear in the reconstructed image
若直接用多色投影数据来重建图像，就会出现射束硬化伪迹。 |
| 7. | Based on the expound and analysis of ica theory and algorithm , we apply ica to the removal of different kinds of artifacts from eeg recordings , and the experiments results show that it is a promising method
本论文在分析ica理论及其算法的基础上，提出将其应用到脑电中多种伪迹的分离及去除，并取得了比较理想的实验结果。 |
| 8. | Also , a beam - hardening correction research on the double - material object is given . and the numerical experiment results show that the beam - hardening artifacts can be eliminated in the reconstructed image using the latter algorithm , furthermore , it can be applied to multi - material object
本文也对双成分被测物体的射束硬化校正算法进行了探讨，数值实验表明，算法较好地消除了重建图像中的射束硬化伪迹，该算法还可进一步推广到多成分被测物体的情形。 |
| 9. | Many methods applying the ica and the wt are discussed in detail for removing and / or reducing the noise or artifacts from the observed eeg . the primary experimental results show that these methods can work effectively , especially for multi - channel eeg , and also can mine some hidden features from the eeg . the innovated works we have finished are as follows : 1
本文在以下几个方面完成了有特色的研究工作：对脑电信号中可能存在的各种噪声或伪迹进行了分类，讨论了利用独立分量分析，以及小波变换来消除这些噪声的方法；研究了如何将小波变换与独立分量分析相结合来增强或提取脑电信号特征；研究了对脑电信号中的噪声进行ica在线消除算法及应用；将本文所研究的处理方法与传统的处理方法作了对比性研究。 |
