A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data
(2011) 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER) p.203-207- Abstract
- We present a framework based on object orientation with novel principles for how to store, analyze and integrate electrophysiological data. These principles are: (I) Using a Decorator pattern for storing analysis data in an object model, (II) using a Core Classes data structure for integration through mediation in a service bus architecture, and (III) choosing the single unit as the finest structure of the object model. With these principles, we address the problems of (1) how to relate the analysis data to the original electrophysiological data by utilizing design patterns, (2) how to integrate data from different data sources, both at application and organization levels and (3) avoiding performance problems by choosing the correct level... (More)
- We present a framework based on object orientation with novel principles for how to store, analyze and integrate electrophysiological data. These principles are: (I) Using a Decorator pattern for storing analysis data in an object model, (II) using a Core Classes data structure for integration through mediation in a service bus architecture, and (III) choosing the single unit as the finest structure of the object model. With these principles, we address the problems of (1) how to relate the analysis data to the original electrophysiological data by utilizing design patterns, (2) how to integrate data from different data sources, both at application and organization levels and (3) avoiding performance problems by choosing the correct level of object granularity for the data. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2494417
- author
- Ljungquist, Bengt LU ; Petersson, Per LU ; Schouenborg, Jens LU ; Johansson, Anders J LU and Garwicz, Martin LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- bioelectric phenomena, data analysis, data structures, medical information systems, neurophysiology, object-oriented databases, relational databases
- host publication
- 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
- pages
- 203 - 207
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER)
- conference location
- Cancun, Mexico
- conference dates
- 2011-04-27 - 2011-05-01
- external identifiers
-
- wos:000298735800047
- scopus:79960343822
- ISSN
- 1948-3546
- DOI
- 10.1109/NER.2011.5910523
- language
- English
- LU publication?
- yes
- id
- b6eae885-12f6-4c96-8338-3f1243071045 (old id 2494417)
- date added to LUP
- 2016-04-01 14:08:19
- date last changed
- 2024-04-16 02:43:56
@inproceedings{b6eae885-12f6-4c96-8338-3f1243071045, abstract = {{We present a framework based on object orientation with novel principles for how to store, analyze and integrate electrophysiological data. These principles are: (I) Using a Decorator pattern for storing analysis data in an object model, (II) using a Core Classes data structure for integration through mediation in a service bus architecture, and (III) choosing the single unit as the finest structure of the object model. With these principles, we address the problems of (1) how to relate the analysis data to the original electrophysiological data by utilizing design patterns, (2) how to integrate data from different data sources, both at application and organization levels and (3) avoiding performance problems by choosing the correct level of object granularity for the data.}}, author = {{Ljungquist, Bengt and Petersson, Per and Schouenborg, Jens and Johansson, Anders J and Garwicz, Martin}}, booktitle = {{2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)}}, issn = {{1948-3546}}, keywords = {{bioelectric phenomena; data analysis; data structures; medical information systems; neurophysiology; object-oriented databases; relational databases}}, language = {{eng}}, pages = {{203--207}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data}}, url = {{http://dx.doi.org/10.1109/NER.2011.5910523}}, doi = {{10.1109/NER.2011.5910523}}, year = {{2011}}, }