期刊论文

Guang Li

英文

Biomedical Signal Processing and Control

1746-8094

2024

92

106022

10.1016/j.bspc.2024.106022

CRediT authorship contribution statement Shuo Zhao: Conceptualization, Methodology, Software, Writing – original draft. Han Gao: Data curation, Writing – review & editing. Xuran Li: Formal analysis, Visualization. Huiyan Li: Formal analysis, Investigation. You Wang: Supervision, Writing – review & editing. Ruifen Hu: acquisition, Writing – review & editing. Jin Zhang: Supervision. Wei Yao: acquisition. Guang Li: acquisition, Methodology, Project administration, Supervision.

本校为其他机构

Electroencephalography (EEG) is commonly used for measuring brain activity information due to its high temporal resolution. However, it severely suffers from noises produced by non-brain sources, called EEG artifacts. Ocular, muscle, and power line artifacts are the most common ones. In this paper, a novel two-stage automatic artifact removal method is proposed to handle different artifacts under miscellaneous EEG applications. Empirical wavelet transform (EWT), canonical correlation analysis (CCA), and an outlier detection algorithm, isolation forest constitute the pipeline. In the first stag...