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Algorithm development for modeling a...
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Zlotnik, Anatoly.
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Algorithm development for modeling and estimation problems in human EEG analysis.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Algorithm development for modeling and estimation problems in human EEG analysis./
作者:
Zlotnik, Anatoly.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2006,
面頁冊數:
163 p.
附註:
Source: Masters Abstracts International, Volume: 45-02, page: 1071.
Contained By:
Masters Abstracts International45-02.
標題:
Systems science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439021
ISBN:
9780542957086
Algorithm development for modeling and estimation problems in human EEG analysis.
Zlotnik, Anatoly.
Algorithm development for modeling and estimation problems in human EEG analysis.
- Ann Arbor : ProQuest Dissertations & Theses, 2006 - 163 p.
Source: Masters Abstracts International, Volume: 45-02, page: 1071.
Thesis (M.S.)--Case Western Reserve University, 2006.
The structure of human electroencephalographic (EEG) signals is investigated using computational methods with the objective of developing automatic algorithms for clinical applications. The EEG is examined globally as a stochastic process with alpha-stable increments, and a novel parameter estimation method is used to investigate its properties. The signal is also examined locally as a smooth, deterministic dynamical system, and the performance and applicability of methods for nonlinear feature estimation are evaluated. The results are compared to standard linear and spectral methods. A set of inter-cranial recordings from epileptic patients is used to study the local behavior of the EEG, and algorithms for detection and forecasting of seizures are considered. In addition, a set of sleep-EEG recordings from a study on neonatal development is examined. An algorithm for sleep-state identification in neonates is presented, and the assessment of brain maturation in neonates using the EEG is explored.
ISBN: 9780542957086Subjects--Topical Terms:
3168411
Systems science.
Algorithm development for modeling and estimation problems in human EEG analysis.
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