Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition

作者：Amo Carlos; de Santiago Luis; Barea Rafael; Lopez Dorado Almudena; Boquete Luciano

来源：Sensors (Switzerland), 2017, 17(5): 989.

DOI：10.3390/s17050989

• electroencephalography
• gamma-band activity
• motor area
• motor tasks
• empirical mode decomposition
• event-related synchronization
• power spectral density

The purpose of this paper is to determine whether gamma-band activity detection is improved when a filter, based on empirical mode decomposition (EMD), is added to the pre-processing block of single-channel electroencephalography (EEG) signals. EMD decomposes the original signal into a finite number of intrinsic mode functions (IMFs). EEGs from 25 control subjects were registered in basal and motor activity (hand movements) using only one EEG channel. Over the basic signal, IMF signals are computed. Gamma-band activity is computed using power spectrum density in the 30-60 Hz range. Event-related synchronization (ERS) was defined as the ratio of motor and basal activity. To evaluate the performance of the new EMD based method, ERS was computed from the basic and IMF signals. The ERS obtained using IMFs improves, from 31.00% to 73.86%, on the original ERS for the right hand, and from 22.17% to 47.69% for the left hand. As EEG processing is improved, the clinical applications of gamma-band activity will expand.

• 出版日期2017-5