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
Challenges in ECG Lead Reconstruction in Patients with Pace..:
, In:
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications
,
Grande-Fidalgo, Alejandro
;
Calpe, Javier
;
Soria-Olivas, Emilio
- p. 101-106 , 2023
Link:
https://dl.acm.org/doi/10.1145/3632047.3632063
RT T1 <cTitle>Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications</cTitle>: T1 <Title>Challenges in ECG Lead Reconstruction in Patients with Pacemakers and Implantable Defibrillators</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3632063&Exemplar=1&LAN=DE A1 Grande-Fidalgo, Alejandro A1 Calpe, Javier A1 Soria-Olivas, Emilio PB ACM YR 2023 K1 artificial neural network K1 cardiovascular diseases K1 electrocardiogram K1 implantable defibrillator K1 lead reconstruction K1 pacemaker K1 standard 12-lead system K1 Applied computing K1 Life and medical sciences K1 Consumer health K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms SP 101 OP 106 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3632047.3632063 DO https://dl.acm.org/doi/10.1145/3632047.3632063 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
