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

Adaptive learning of neural activity...

Dutta, Arindam.

Linked to FindBook

Google Book

Amazon

博客來

Adaptive learning of neural activity during deep brain stimulation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive learning of neural activity during deep brain stimulation./
Author:	Dutta, Arindam.
Description:	56 p.
Notes:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1587650
ISBN:	9781321717303

Adaptive learning of neural activity during deep brain stimulation.
Dutta, Arindam.

Adaptive learning of neural activity during deep brain stimulation. - 56 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--Arizona State University, 2015.

Parkinson's disease is a neurodegenerative condition diagnosed on patients with clinical history and motor signs of tremor, rigidity and bradykinesia, and the estimated number of patients living with Parkinson's disease around the world is seven to ten million. Deep brain stimulation (DBS) provides substantial relief of the motor signs of Parkinson's disease patients. It is an advanced surgical technique that is used when drug therapy is no longer sufficient for Parkinson's disease patients. DBS alleviates the motor symptoms of Parkinson's disease by targeting the subthalamic nucleus using high-frequency electrical stimulation.

ISBN: 9781321717303Subjects--Topical Terms:

649834
Electrical engineering.

Adaptive learning of neural activity during deep brain stimulation.
LDR:02448nmm a2200289 4500 001 2068634
005 20160428074913.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321717303
035 $a (MiAaPQ)AAI1587650
035 $a AAI1587650
040 $a MiAaPQ $c MiAaPQ
100 1 $a Dutta, Arindam. $3 785972
245 1 0 $a Adaptive learning of neural activity during deep brain stimulation.
300 $a 56 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: Antonia Papandreou-Suppappola.
502 $a Thesis (M.S.)--Arizona State University, 2015.
520 $a Parkinson's disease is a neurodegenerative condition diagnosed on patients with clinical history and motor signs of tremor, rigidity and bradykinesia, and the estimated number of patients living with Parkinson's disease around the world is seven to ten million. Deep brain stimulation (DBS) provides substantial relief of the motor signs of Parkinson's disease patients. It is an advanced surgical technique that is used when drug therapy is no longer sufficient for Parkinson's disease patients. DBS alleviates the motor symptoms of Parkinson's disease by targeting the subthalamic nucleus using high-frequency electrical stimulation.
520 $a This work proposes a behavior recognition model for patients with Parkinson's disease. In particular, an adaptive learning method is proposed to classify behavioral tasks of Parkinson's disease patients using local field potential and electrocorticography signals that are collected during DBS implantation surgeries. Unique patterns exhibited between these signals in a matched feature space would lead to distinction between motor and language behavioral tasks. Unique features are first extracted from deep brain signals in the time-frequency space using the matching pursuit decomposition algorithm. The Dirichlet process Gaussian mixture model uses the extracted features to cluster the different behavioral signal patterns, without training or any prior information. The performance of the method is then compared with other machine learning methods and the advantages of each method is discussed under different conditions.
590 $a School code: 0010.
650 4 $a Electrical engineering. $3 649834
650 4 $a Biomedical engineering. $3 535387
690 $a 0544
690 $a 0541
710 2 $a Arizona State University. $b Electrical Engineering. $3 1671741
773 0 $t Masters Abstracts International $g 54-04(E).
790 $a 0010
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1587650