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
A Hybrid Deep Learning Approach for Cuff-less Noninvasive C..:
, In:
2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)
,
Ali, Md Sadek
;
Islam, Md Shohidul
;
Chan, Raymond Hon-Fu
.. - p. 35-40 , 2024
Link:
https://doi.org/10.1109/NSENS62142.2024.10561418
RT T1
2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)
: T1
A Hybrid Deep Learning Approach for Cuff-less Noninvasive Continuous Blood Pressure Estimation Based on Photoplethysmography
UL https://suche.suub.uni-bremen.de/peid=ieee-10561418&Exemplar=1&LAN=DE A1 Ali, Md Sadek A1 Islam, Md Shohidul A1 Chan, Raymond Hon-Fu A1 Chan, Kannie Wai Yan A1 Ho, Derek YR 2024 K1 Performance evaluation K1 Estimation K1 Medical services K1 Signal processing K1 Photoplethysmography K1 Robot sensing systems K1 Blood pressure SP 35 OP 40 LK http://dx.doi.org/https://doi.org/10.1109/NSENS62142.2024.10561418 DO https://doi.org/10.1109/NSENS62142.2024.10561418 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)