IMF Features of BCI FP1 EEG Signal Using EMD Methods for Cerebral Palsy

Abstract

In the paper, the intrinsic mode function (IMF) features of Brain-computer interfaces (BCI) FP1 electroencephalogram (EEG) signals for cerebral palsy (CP) using empirical mode decomposition (EMD) methods were analyzed. The BCI FP1 EEG signals for CP and health, were decomposed into nine IMFs and one residual function (RF), respectively. \( IMFERTE_{6} \), \( IMFERTE_{7} \), and \( IMFERTE_{RF} \) of the FP1 signals of CP were 34.36, 32.29, and 18.04%, respectively. \( IMFERTE_{4} \), \( IMFERTE_{5} \), \( IMFERTE_{9} \), and \( IMFERTE_{RF} \) of the BCI FP1 signals of health were 17.93, 16.53, 12.45, and 41.20%, respectively. From the analysis of results, we find that IMF6, IMF7, and RF were the important IMFs of the BCI FP1 EEG signal of CP and IMF4, IMF5, IMF9, and RF were the important IMFs of BCI FP1 EEG signal of health.