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A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data

Ljungquist, Bengt LU ; Petersson, Per LU ; Schouenborg, Jens LU ; Johansson, Anders J LU and Garwicz, Martin LU (2011) 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER) In 2011 5TH INTERNATIONAL IEEE/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)
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author
organization
publishing date
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
in
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)
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
2012-05-28 11:10:58
date last changed
2017-06-04 04:03:41
@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},
  keyword      = {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},
  year         = {2011},
}