I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Identifying the Spectral-Based Neurophysiological Biomarker..:
, In:
2023 Medical Technologies Congress (TIPTEKNO)
,
Nassehi, Farhad
;
Unlu, Busra
;
Kahveci, Yagmur
.. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/TIPTEKNO59875.2023.10359173
RT T1
2023 Medical Technologies Congress (TIPTEKNO)
: T1
Identifying the Spectral-Based Neurophysiological Biomarkers to Detect Panic Disorder from Alpha Band Using Machine Learning Algorithms
UL https://suche.suub.uni-bremen.de/peid=ieee-10359173&Exemplar=1&LAN=DE A1 Nassehi, Farhad A1 Unlu, Busra A1 Kahveci, Yagmur A1 Yetkin, Sinan A1 Erogul, Osman YR 2023 SN 2687-7783 K1 Machine learning algorithms K1 Anxiety disorders K1 Biomarkers K1 Feature extraction K1 Electroencephalography K1 Recording K1 Electroencephalogram (EEG) K1 Panic Disorder (PD) K1 Feature Selection K1 Machine Learning K1 Alpha Band SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/TIPTEKNO59875.2023.10359173 DO https://doi.org/10.1109/TIPTEKNO59875.2023.10359173 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)