Lyapunov-Index Application and Time-Frequency Analysis in Medical EEG

Abstract:

With the development of the signal processing and the medical technique, EEG (electroencephalogram) check has been usually used to analyze the brain activity in the clinical medical, which can distinguish the abnormal circadian state from the normal circadian state. Here puts forth Lyapunov index analysis method to analyze the circadian state by the medical personnel or researcher, and the validity of the method is verified in some related graph through computer simulation, and all the method bridges a connection between the Chaos state and the medical EEG diagnoses.

• Periodical: Advanced Materials Research (Volumes 915-916)
• Pages: 1211-1215
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.915-916.1211
• Online since: April 2014
• Authors: Xian Mao Li, Jiu Ming Lv, You Bing Zhang, Xian Feng Huang
• Keywords: Circadian State, Lyapunov Index, Medical EEG, N-Dimension Phase Space, Non-Periodical, Nonstationary Random Signal, Time-Frequency Analysis

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