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

Standard

A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. / Ljungquist, Bengt; Petersson, Per; Schouenborg, Jens; Johansson, Anders J; Garwicz, Martin.

2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc., 2011. p. 203-207.

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

Harvard

Ljungquist, B, Petersson, P, Schouenborg, J, Johansson, AJ & Garwicz, M 2011, A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. in 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 203-207, 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER), Cancun, Mexico, 2011/04/27. https://doi.org/10.1109/NER.2011.5910523

APA

Ljungquist, B., Petersson, P., Schouenborg, J., Johansson, A. J., & Garwicz, M. (2011). A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. In 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) (pp. 203-207). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NER.2011.5910523

CBE

Ljungquist B, Petersson P, Schouenborg J, Johansson AJ, Garwicz M. 2011. A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. In 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc. pp. 203-207. https://doi.org/10.1109/NER.2011.5910523

MLA

Ljungquist, Bengt et al. "A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data". 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc. 2011, 203-207. https://doi.org/10.1109/NER.2011.5910523

Vancouver

Ljungquist B, Petersson P, Schouenborg J, Johansson AJ, Garwicz M. A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. In 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc. 2011. p. 203-207 https://doi.org/10.1109/NER.2011.5910523

Author

Ljungquist, Bengt ; Petersson, Per ; Schouenborg, Jens ; Johansson, Anders J ; Garwicz, Martin. / A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data. 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc., 2011. pp. 203-207

RIS

TY - GEN

T1 - A Novel Framework for Storage, Analysis and Integration through Mediation of Large-scale Electrophysiological Data

AU - Ljungquist, Bengt

AU - Petersson, Per

AU - Schouenborg, Jens

AU - Johansson, Anders J

AU - Garwicz, Martin

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - bioelectric phenomena

KW - data analysis

KW - data structures

KW - medical information systems

KW - neurophysiology

KW - object-oriented databases

KW - relational databases

U2 - 10.1109/NER.2011.5910523

DO - 10.1109/NER.2011.5910523

M3 - Paper in conference proceeding

SP - 203

EP - 207

BT - 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER)

Y2 - 27 April 2011 through 1 May 2011

ER -