A Joint SSA and CNN Algorithm to Remove EMG Artifacts from Single Channel EEG

Yu, Cheng1; Shan, Qinglan1; Li, Zhide1; Qin, Peiwu1; Dong, Yuhan1; Zeng, Qinggan2; Chu, Zhenhai3

10.1109/CISP-BMEI53629.2021.9624216

2021

14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

978-1-6654-0005-3

2021 14TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2021)

1-6

OCT 23-25, 2021

null,Shanghai,PEOPLES R CHINA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

There often exist unavoidable artifacts in the electroencephalogram (EEG) acquisition process. Singular spectrum analysis (SSA) has been used as an efficient single channel signal decomposition algorithm in EEG denoising task. Recently, deep neural networks have also been utilized to remove artifacts in an end-to-end manner. Compared with other biomedical signals, very few papers have reported to eliminate electromyography (EMG) from EEG signals. However, the existing deep leaning models still have the potential of improvement. Motivated by these prior works, we propose a novel joint SSA and convolutional neural network (CNN) algorithm to remove EMG from EEG signals. Numerical results obtained based on a stimulated hybrid dataset suggest that the proposed algorithm outperforms traditional approaches when the signal-to-noise ratio (SNR) exceeds -1dB.

EEG EMG artifacts elimination SSA deeplearning

通讯

英语

CPCI-S ; EI

National Key R&D Program of China[2018YFC0116800] ; Science and Technology Innovation Commission of Shenzhen Municipality[JSGG2019112911081212708]

Engineering ; Medical Informatics ; Imaging Science & Photographic Technology

Engineering, Biomedical ; Medical Informatics ; Imaging Science & Photographic Technology

WOS:000789442100007

Web of Science

1.Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
2.Southern Med Univ, Affiliated Hosp 3, Dept Neurol, Guangzhou 510630, Peoples R China
3.Southern Univ Sci & Technol Hosp, Neurol Dept, Shenzhen 518055, Peoples R China

Yu, Cheng,Shan, Qinglan,Li, Zhide,et al. A Joint SSA and CNN Algorithm to Remove EMG Artifacts from Single Channel EEG[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021:1-6.