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
Existing predictive methods applied to gait analysis of pat..:
Moura da Silva, Patrícia Mayara
;
Oliveira Bezerra, Ana Beatriz
;
Araújo Farias, Luanna Barbara
...
BMJ Open. 12 (2022) 2 - p. e051981 , 2022
Link:
https://doi.org/10.1136/bmjopen-2021-051981
RT Journal T1
Existing predictive methods applied to gait analysis of patients with diabetes: study protocol for a systematic review
UL https://suche.suub.uni-bremen.de/peid=cr-10.1136_bmjopen-2021-051981&Exemplar=1&LAN=DE A1 Moura da Silva, Patrícia Mayara A1 Oliveira Bezerra, Ana Beatriz A1 Araújo Farias, Luanna Barbara A1 Ribeiro, Tatiana Souza A1 Morya, Edgard A1 Cavalcanti, Fabrícia Azevêdo da Costa PB BMJ YR 2022 SN 2044-6055 SN 2044-6055 JF BMJ Open VO 12 IS 2 SP e051981 LK http://dx.doi.org/https://doi.org/10.1136/bmjopen-2021-051981 DO https://doi.org/10.1136/bmjopen-2021-051981 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)