Single Trial Detection of Visual Evoked Potential by Using EMD and Wavelet Filtering Method

• 作 者: HE Ke-ren ZOU Ling TAO Cai-lin
• 机 构: School of Information Science & Engineering,State Key Laboratory of Robotics and System(HIT)
• 出 处: 中国生物医学工程学报（英文版）
• 发表日期: 2004年期
• 关键词: EMD wavelet threshold ERP single trial extraction
• 基金项目: Natural Science Fund for Colleges and Universities in Jiangsu Province of China;Natural Science Fund in Changzhou;Open Project of the State Key Laboratory of Robotics and System (HIT);the State Key L

Empirical mode decomposition (EMD) is a new signal decomposition method,which could decompose the non-stationary signal into several single-component intrinsic mode functions (IMFs) and each IMF has some physical meanings.This paper studies the single trial extraction of visual evoked potential by combining EMD and wavelet threshold filter.Experimental results showed that the EMD based method can separate the noise out of the event related potentials (ERPs) and effectively extract the weak ERPs in strong background noise,which manifested as the waveform characteristics and root mean square error (RMSE).