Name
Title | ||
|---|---|---|
Management Framework for Biosignals in Biomedical Studies: From Study Design to Data Statistics. |
Abstract | ||
|---|---|---|
A centralized and structured management framework for biosignals is proposed. This framework is dedicated to design biomedical studies, acquire and store biosignals and the associated metadata, as well as validate, synchronize, view, and evaluate these signals from an individual study-related perspective. We introduce a five-layer model as the basis of the framework to facilitate data management, ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIM.2015.2490858 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Biomedical measurement,Electrocardiography,Biological system modeling,Sensors,Data models,Prototypes,Physiology | Data modeling,Data mining,Metadata,Computer science,Software,Microservices,Modular design,Presentation layer,Statistics,Data management,Cloud computing | Journal |
Volume | Issue | ISSN |
65 | 4 | 0018-9456 |
Citations | PageRank | References |
1 | 0.43 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Thürk | 1 | 2 | 1.82 |
| stefan kampusch | 2 | 3 | 3.33 |
| Eugenijus Kaniusas | 3 | 18 | 8.59 |