東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Algorithm development for modeling a...

Zlotnik, Anatoly.

Linked to FindBook

Google Book

Amazon

博客來

Algorithm development for modeling and estimation problems in human EEG analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algorithm development for modeling and estimation problems in human EEG analysis./
Author:	Zlotnik, Anatoly.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2006,
Description:	163 p.
Notes:	Source: Masters Abstracts International, Volume: 45-02, page: 1071.
Contained By:	Masters Abstracts International45-02.
Subject:	Systems science. -
Online resource:	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.
LDR:01913nmm a2200289 4500 001 2054842
005 20170424144340.5
008 170519s2006 ||||||||||||||||| ||eng d
020 $a 9780542957086
035 $a (MiAaPQ)AAI1439021
035 $a AAI1439021
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zlotnik, Anatoly. $3 3168410
245 1 0 $a Algorithm development for modeling and estimation problems in human EEG analysis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2006
300 $a 163 p.
500 $a Source: Masters Abstracts International, Volume: 45-02, page: 1071.
500 $a Adviser: Kenneth Loparo.
502 $a Thesis (M.S.)--Case Western Reserve University, 2006.
520 $a 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.
590 $a School code: 0042.
650 4 $a Systems science. $3 3168411
650 4 $a Biomedical engineering. $3 535387
690 $a 0790
690 $a 0541
710 2 $a Case Western Reserve University. $3 1017714
773 0 $t Masters Abstracts International $g 45-02.
790 $a 0042
791 $a M.S.
792 $a 2006
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439021