title: [Analysis of Parkinson's EEG based on the complexity measure].
abstract: EEG represents the electricy activity of neurons in human brain; it is of course repeatedly used for studying and analyzing the brain activity and the status of brain function. We analyzed the Parkinson's and normal persons' EEG, with the aid of Kc complexity and C1 complexity defined by Kolmogorov and Xujinhua respectively. The results of the analysis on the data from 200 patients and 200 normal persons indicate that the complexity of EEG can be regarded as a feature classifying the Parkinson's EEG and normal persons' EEG.
authors.affiliation: Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027.
authors.forename: Z
authors.initials: Z
authors.lastname: Chen
authors.forename: W
authors.initials: W
authors.lastname: Wu
authors.forename: Q
authors.initials: Q
authors.lastname: Tong
authors.forename: X
authors.initials: X
authors.lastname: Yan
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D006801:Humans; D010300:Parkinson Disease / Q000175:diagnosis* / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted