Calculation of compact amplitude-integrated EEG tracing and upper and lower margins using raw EEG data

Dandan Zhang, Haiyan Ding

Department of Biomedical Engineering, Tsinghua University Beijing, China.

DOI: 10.4236/health.2013.55116                

Abstract

Amplitude-integrated EEG (aEEG) is a popular method for monitoring cerebral function. Although various commercial aEEG recorders have been produced, a detailed aEEG algorithm currently is not available. The upper and lower margins in the aEEG tracing are the discriminating features for data inspection and tracing classification. However, most aEEG devices require that these margins be measured semi-subjectively. This paper proposes a step-by-step signal-processing method to calculate a compact aEEG tracing and the upper/lower margin using raw EEG data. The high accuracy of the algorithm was verified by comparison with a recognized commercial aEEG device based on a representative testing dataset composed of 72 aEEG data. The introduced digital algorithm achieved compact aEEG tracing with a small data size. Moreover, the algorithm precisely represented the upper and lower margins in the tracing for objective data interpretation. The described method should facilitate aEEG signal processing and further establish the clinical and experimental application of aEEG methods.

Keywords

Amplitude-Integrated EEG; Digital Algorithm; Upper Margin; Lower Margin; Compact Tracing

Conflicts of Interest

The authors declare no conflicts of interest.

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