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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Neurosciences

Keywords

  • bioelectric phenomena, data analysis, data structures, medical information systems, neurophysiology, object-oriented databases, relational databases
Original languageEnglish
Title of host publication2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages203-207
Publication statusPublished - 2011
Publication categoryResearch
Peer-reviewedYes
Event5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER) - Cancun, Mexico
Duration: 2011 Apr 272011 May 1

Publication series

Name
ISSN (Print)1948-3546

Conference

Conference5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER)
CountryMexico
CityCancun
Period2011/04/272011/05/01

Related research output

Bengt Ljungquist, 2018, Lund: Lund University: Faculty of Medicine. 56 p.

Research output: ThesisDoctoral Thesis (compilation)

View all (1)