Multidimensional Feature Optimization Based Eye Blink Detection Under Epileptiform Discharges

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 30; pp. 905 - 914
• Main Authors: Wang, Meng, Wang, Jianhui, Cui, Xiaonan, Wang, Tianlei, Jiang, Tiejia, Gao, Feng, Cao, Jiuwen
• Format: Journal Article
• Language: English
• Published: United States IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Blinking; Child; Clustering; Detection algorithms; Discharges (electric); EEG; Electroencephalography; Electroencephalography - methods; Epilepsy; Epilepsy - diagnosis; Epileptiform discharge; Feature extraction; Filtering; Firing pattern; Forehead; Humans; improved variational mode extraction; Machine learning; multi-dimensional EEG feature optimization; Multidimensional methods; Optimization; variance filtering; Waveforms

Objectives: Eye blink artifact detection in scalp electroencephalogram (EEG) of epilepsy patients is challenging due to its similar waveforms to epileptiform discharges. Developing an accurate detection method is urgent and critical. Methods: In this paper, we proposed a novel multi-dimensional feat...