Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm

被引：11

作者：

Mehrkanoon, Saeid ^{[1
]}

Moghavvemi, Mahmoud ^{[1
]}

Fariborzi, Hossein ^{[1
]}

机构：

[1] Univ Malaya, Dept Elect Engn, Kuala Lumpur, Malaysia

来源：

ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS | 2007年

关键词：

real-time-adaptive filter; Least Mean Square; Finite Impulse Response; EEG; EMG; EOG; noise cancellation;

D O I：

10.1109/ICIAS.2007.4658583

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The EEG signal is most useful for clinical diagnosis and in biomedical research. ElectroOculoGram (EOG), ElectroMyoGram (EMG) artifact are produced by eye movement and facial muscle movement respectively. An adaptive filtering method is proposed to remove these artifacts signals from EEG signals. Proposed method uses horizontal EOG (HEOG), vertical EOG (VEOG), and EMG signals as three reference digital filter inputs. The real-time artifact removal is implemented by multi-channel Least Mean Square algorithm. The resulting EEG signals display an accurate and artifact free feature.

引用

页码：1245 / 1250

页数：6

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