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

Summary, in English

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: Bengt Ljungquist; Per Petersson; Jens Schouenborg; Anders J Johansson; Martin Garwicz
• Department/s: NanoLund: Centre for Nanoscience; Neuronano Research Center (NRC)
• Publishing year: 2011
• Language: English
• Pages: 203-207
• Publication/Series: 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
• Links: http://dx.doi.org/10.1109/NER.2011.5910523
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Neurosciences
• Keywords: bioelectric phenomena; data analysis; data structures; medical information systems; neurophysiology; object-oriented databases; relational databases
• Conference name: 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER)
• Conference date: 2011-04-27 - 2011-05-01
• Conference place: Cancun, Mexico
• Status: Published
• Research group: Neuronano Research Center (NRC)
• ISBN/ISSN/Other: ISSN: 1948-3546