Hand rotate EEG signal feature extraction by second order Daubechies wavelet transform (DWT)

机译：通过二阶Daubechies小波变换（DWT）进行手旋转EEG信号特征提取

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The goal of proposed work is the development of an electroencephalogram (EEG) based BCI system. The overview of this work is, the user thought is extracted from the brain activity of a healthy person. Pre-processing is performed using filters and wavelet transforms to extract the features and classify them to their respective class. The intention of this work is to enhance human interaction with computers, providing a communication channel between human brain and computer. Patients who suffer from severe motor impairments and are unable to speak may use such an EEG based BCI system as an alternative form of communication by mental activity.

机译：拟议工作的目标是开发基于脑电图（EEG）的BCI系统。这项工作的概述是，用户认为是从健康人的大脑活动中提取的。使用滤波器和小波变换执行预处理以提取特征并将其分类为各自的类别。这项工作的目的是增强人与计算机的交互，提供人脑与计算机之间的通信通道。患有严重运动障碍且无法说话的患者可以使用基于EEG的BCI系统作为通过精神活动进行交流的另一种形式。

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来源
《2012 Third International Conference on Computing Communication amp; Networking Technologies.》|2012年|p.1- 6|共6页
会议地点 Coimbatore(IN);Coimbatore(IN)
作者
Michahial Stafford; Ranjith Kumar R.; Hemath Kumar P; Puneeth Kumar A;
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AMCEC, India;

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原文格式 PDF
正文语种 eng
中图分类通信网;通信网;
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4. Hand rotate EEG signal feature extraction by second order Daubechies wavelet transform (DWT) [C] . Michahial Stafford, Ranjith Kumar R., Hemath Kumar P, International Conference on Computing, Communication and Networking Technologies . 2012

机译：用二阶Daubechies小波变换（DWT）旋转EEG信号特征提取
5. Linear unmixing of hyperspectral signals via wavelet feature extraction. [D] . Li, Jiang. 2002

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6. EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy [O] . Na Ji, Liang Ma, Hui Dong, 2019

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7. Feature Extraction of Facial Electromyograph (EMG) Signal for Aceh Languages Speech using Discrete Wavelet Transform (DWT) [O] . Darma Setiawan Putra, Yuril Umbu WW 2019

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8. Feature Extraction from Digital Communications Signals Using Wavelet Transforms [R] . Hippenstiel, R. D., Fargues, M. P. 1995

机译：利用小波变换从数字通信信号中提取特征

Hand rotate EEG signal feature extraction by second order Daubechies wavelet transform (DWT)

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