Wavelet-Based Chaos Analysis for Epileptic Seizure Prediction and Circuit Implementation
碩士 === 國立交通大學 === 多媒體工程研究所 === 97 === The Epilepsy and epileptic seizure prediction algorithm by extracting useful features from Electroencephalography (EEG) is a hot topic in the current research of physiological signals. In view of the erroneous conclusions from the traditional statistical analysi...
Main Authors: | Wang, Shu-Kai, 王舒愷 |
---|---|
Other Authors: | Lin, Chin-Teng |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/48948441074451085195 |
Similar Items
-
Detection and analysis of epileptic seizure based on wavelet transform and modulus maximum approach
by: Liu Guangda, et al.
Published: (2019-04-01) -
Classification of Seizures in EEG Using Wavelet-Chaos Methodology and Genetic Algorithm
by: Kai-Cheng Hsu, et al.
Published: (2009) -
Predicting epileptic seizures in advance.
by: Negin Moghim, et al.
Published: (2014-01-01) -
Epileptic Seizure Prediction Based on Permutation Entropy
by: Yanli Yang, et al.
Published: (2018-07-01) -
Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals
by: Andrea V. Perez-Sanchez, et al.
Published: (2020-11-01)