Analysis of neonatal amplitude integrated electroencephalogram based on nonlinear dynamics.
- Author:
Shaobin WANG
1
;
Yikang WANG
;
Zhizhong WANG
;
Yiyun SHI
;
Xiaomei SHAO
Author Information
1. College of Life Science & Biotechnology, Shanghai Jiaotong University, Shanghai 200030, China. shaobin2010@163.com
- Publication Type:Journal Article
- MeSH:
Brain;
physiology;
Electroencephalography;
methods;
Humans;
Infant, Newborn;
Neonatal Screening;
methods;
Nonlinear Dynamics;
Seizures;
diagnosis;
physiopathology;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2009;26(6):1201-1205
- CountryChina
- Language:Chinese
-
Abstract:
Amplitude integrated electroencephalogram (aEEG), also known as cerebral function monitor (CFM), is a non-invasive detection of brain function, having good accuracy in early diagnosis and prognosis evaluation of neonatal brain damage. Today, doctors classify amplitude integrated electroencephalogram mainly based on its waveform and amplitude, then they make correct diagnosis of brain function of neonates. However, in some cases, the amplitude and waveform of aEEG are not very clearly shown, the only way is relying on doctors' experience to give out judgement, which has some subjective factors, so doctors can not present accurate diagnostic information. To solve this problem by the use of non-linear dynamics, we calculate and analyze the correlation dimension, Lyapunov exponent and approximate entropy of the aEEG for neonates with convulsions and for normal neonates; then we take these three characters as a three-dimensional vector; finally, the aEEG of neonates with convulsions and the aEEG of normal neonates are distributed into two parts in threedimensional space, thus the correlation dimension, Lyapunov exponent and approximate entropy of the aEEG can reflect the internal information of neonatal brain function. Therefore, it can be used as a new method for studying neonatal aEEG.
