A comparison between wavelet families to compress an EEG signal

机译：小波族压缩脑电信号之间的比较

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Wavelet Transform (WT) is a widely technique used to compress a biomedical signal. This algorithm has different orthonormal basis functions coined as families. In this work EEG signals are compressed. Also, different Wavelet families are presented in order to compare the performances of each algorithm under two different criteria: quantitative and qualitative. Additionally, in order to compare our results, a combined algorithm (Block Sparse Bayesian Learning and Compressed Sensing) is taken from the literature.

机译：小波变换（WT）是一种广泛用于压缩生物医学信号的技术。该算法具有称为族的不同正交函数。在这项工作中，脑电信号被压缩。另外，提出了不同的小波族，以便比较两种算法在定量和定性两个标准下的性能。另外，为了比较我们的结果，从文献中采用了组合算法（块稀疏贝叶斯学习和压缩感知）。

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来源
《Proceedings of the 2016 IEEE ANDESCON》|2016年|1-4|共4页
会议地点 Arequipa(PE)
作者
Jesus G. Servín-Aguilar; Luis Rizo-Dominguez; Jorge A. Pardiñas-Mir;
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作者单位

Electronic, Systems and Informatics Department, ITESO, Tlaquepaque, Mexico;

Electronic, Systems and Informatics Department, ITESO, Tlaquepaque, Mexico;

Electronic, Systems and Informatics Department, ITESO, Tlaquepaque, Mexico;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
wavelet transforms; belief networks; compressed sensing; electroencephalography; medical signal processing;

机译：小波变换；信念网络；压缩感知；脑电图；医学信号处理;

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1. Comparison of classification methods on EEG signals based on wavelet packet decomposition [J] . Zhang Yong, Zhang Yuting, Wang Jianying, Neural computing & applications . 2015,第5期

机译：基于小波包分解的脑电信号分类方法比较
2. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. [J] . Akin M Computers in Biology and Medicine . 2005,第7期

机译：STFT和小波变换方法在确定EEG信号中癫痫发作活动以进行实时应用方面的比较。
3. Comparison of wavelet transform and FFT methods in the analysis of EEG signals. [J] . Akin M Journal of medical systems . 2002,第3期

机译：小波变换和FFT方法在脑电信号分析中的比较。
4. A comparison between wavelet families to compress an EEG signal [C] . Jesus G. Servín-Aguilar, Luis Rizo-Dominguez, Jorge A. Pardi?as-Mir IEEE ANDESCON Conference . 2016

机译：小波族的比较压缩脑电图信号
5. Comparison of Different Methods on EEG Signal Separating of Stuttering Adult and Child during the Pre-speech Auditory Modulation [D] . Yang, Feiran. 2020

机译：在语音听觉调制期间对口腔成人和儿童EEG信号分离不同方法的比较
6. Source Localization of EEG Brainwaves Activities via Mother Wavelets Families for SWT Decomposition [O] . Tarek Frikha, Najmeddine Abdennour, Faten Chaabane, 2021

机译：eEG脑波活动的源本地化通过母亲小波家庭进行SWT分解
7. Classification of EEG Signals for Detection of Epileptic Seizures Based on Wavelets and Statistical Pattern Recognition [O] . D. Gajic, Z. Djurovic, S. Di Gennaro, 2015

机译：基于小波和统计模式识别的癫痫发作检测脑电信号分类

A comparison between wavelet families to compress an EEG signal

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