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
An Edge-Assisted and Smart System for Real-Time Pain Monito..:
, In:
2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
,
Kasaeyan Naeini, Emad
;
Shahhosseini, Sina
;
Subramanian, Ajan
... - p. 47-52 , 2019
Link:
https://doi.org/10.1109/CHASE48038.2019.00023
RT T1 <cTitle>2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)</cTitle>: T1 <Title>An Edge-Assisted and Smart System for Real-Time Pain Monitoring</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8908653&Exemplar=1&LAN=DE A1 Kasaeyan Naeini, Emad A1 Shahhosseini, Sina A1 Subramanian, Ajan A1 Yin, Tingjue A1 Rahmani, Amir M. A1 Dutt, Nikil YR 2019 K1 Pain K1 Monitoring K1 Feature extraction K1 Biomedical monitoring K1 Real-time systems K1 Self-aware K1 Electrocardiography K1 Edge Computing K1 Deep Learning K1 Pain Assessment K1 Self-Aware SP 47 OP 52 LK http://dx.doi.org/https://doi.org/10.1109/CHASE48038.2019.00023 DO https://doi.org/10.1109/CHASE48038.2019.00023 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
