國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

EEG-based diagnosis of Alzheimer dis...

Bairagi, Vinayak,

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	EEG-based diagnosis of Alzheimer disease :Nilesh Kulkarni and Vinayak Bairagi.
其他題名:	a review and novel approaches for feature extraction and classification techniques /
作者:	Kulkarni, Nilesh,
其他作者:	Bairagi, Vinayak,
面頁冊數:	1 online resource :illustrations
標題:	Alzheimer's diseaseDiagnosis.
電子資源:	https://www.sciencedirect.com/science/book/9780128153925
ISBN:	9780128153932$q(electronic bk.)

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /
Kulkarni, Nilesh,

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /Nilesh Kulkarni and Vinayak Bairagi. - 1 online resource :illustrations

Includes bibliographical references and index.

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer's disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer's Disease early, presenting new and innovative results in the extraction and classification of Alzheimer's Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer's Disease.

ISBN: 9780128153932$q(electronic bk.)Subjects--Topical Terms:

374205
Alzheimer's disease
--Diagnosis.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: RC523

Dewey Class. No.: 616.831075

EEG-based diagnosis of Alzheimer disease :a review and novel approaches for feature extraction and classification techniques /
LDR:01768nmm a2200289 i 4500 001 561501
006 m o d
007 cr cnu|unuuu||
008 200213s2018 enka ob 001 0 eng d
020 $a 9780128153932$q(electronic bk.)
020 $a 0128153938$q(electronic bk.)
020 $a 9780128153925
020 $a 012815392X
035 $a (OCoLC)1031373552
035 $a els108120237
040 $a N $b eng $e rda $e pn $c N $d N $d EBLCP $d OPELS $d OCLCF $d D6H $d MERER $d OCLCQ $d INT $d NLE $d OCLCQ $d U3W $d LVT $d ITD $d OCLCQ $d UKAHL $d OCLCQ
041 0 $a eng
050 4 $a RC523
082 0 4 $a 616.831075 $2 23
100 1 $a Kulkarni, Nilesh, $e author. $3 845714
245 1 0 $a EEG-based diagnosis of Alzheimer disease : $b a review and novel approaches for feature extraction and classification techniques / $c Nilesh Kulkarni and Vinayak Bairagi.
264 1 $a London : $b Academic Press, $c 2018.
300 $a 1 online resource : $b illustrations
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
504 $a Includes bibliographical references and index.
520 $a EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer's disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer's Disease early, presenting new and innovative results in the extraction and classification of Alzheimer's Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer's Disease.
650 0 $a Alzheimer's disease $x Diagnosis. $3 374205
650 0 $a Electroencephalography. $3 194456
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Bairagi, Vinayak, $e author. $3 845715
856 4 0 $u https://www.sciencedirect.com/science/book/9780128153925