Is EEG chaotic?
Is EEG chaotic?
EEG signals have been considered to result either from random processes or to be generated by non-linear dynamic systems exhibiting chaotic behaviour. The complexity of the attractor can be characterized by the correlation dimension that can be computed from one signal generated by the system.
Can chaotic analysis of electroencephalogram aid the diagnosis of encephalopathy?
The chaotic features of EEG have been shown in previous studies to be an indicator of the complexity of brain dynamics. The smaller values of chaotic features for encephalopathy suggest that normal complexity of brain function is reduced in encephalopathy.
Is EEG deterministic?
Testing results on both our experimental recorded EEG signals and a benchmark EEG database verifies this hypothesis that EEG signals are deterministic in nature while contain some stochastic components as well.
What is an EEG pattern?
The electroencephalograph is a continuous recording of waves of varying frequency and amplitude. There are four basic EEG frequency patterns as follows: Beta (14-30 Hz), Alpha (8-13 Hz), Theta (4-7 Hz), and Delta (1-3 Hz). In general, the amplitude of the EEG increases as the frequency decreases.
How do I know if I have Hypsarrhythmia?
Hypsarrhythmia is the most common interictal EEG pattern associated with infantile spasms. The most common clinical description is a sudden, symmetric, tonic muscle contraction producing flexion/extension of the trunk and extremities, although a variety of movement patterns have been described.
Is EEG a non stationary?
Neurophysiological measurements obtained from e.g. EEG or fMRI are inherently non-stationary because the properties of the underlying brain processes vary over time.
Is EEG stochastic?
In this article, the Electroencephalography (EEG) signal of the human brain is modeled as the output of stochastic non-linear coupled oscillator networks. These measures allow matching of linear time varying frequency content as well as non-linear signal information content and complexity.
What is hypsarrhythmia EEG?
