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

Bengt Ljungquist; Per Petersson; Jens Schouenborg; Anders J Johansson; Martin Garwicz

doi:10.1109/NER.2011.5910523

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

Bengt Ljungquist, Per Petersson, Jens Schouenborg, Anders J Johansson, Martin Garwicz

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	203-207
DOI	https://doi.org/10.1109/NER.2011.5910523
Status	Published - 2011
Evenemang	5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER) - Cancun, Mexiko Varaktighet: 2011 apr. 27 → 2011 maj 1

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ISSN (tryckt)	1948-3546

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Konferens	5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER)
Land/Territorium	Mexiko
Ort	Cancun
Period	2011/04/27 → 2011/05/01

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Neurovetenskaper

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10.1109/NER.2011.5910523

1 Doktorsavhandling (sammanläggning)

Bitcoding the brain. Integration and organization of massive parallel neuronal data.
Ljungquist, B., 2018, Lund: Lund University: Faculty of Medicine. 56 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

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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. I 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) (s. 203-207). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NER.2011.5910523

@inproceedings{b6eae88512f64c9683383f1243071045,

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

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.",

keywords = "bioelectric phenomena, data analysis, data structures, medical information systems, neurophysiology, object-oriented databases, relational databases",

author = "Bengt Ljungquist and Per Petersson and Jens Schouenborg and Johansson, {Anders J} and Martin Garwicz",

year = "2011",

doi = "10.1109/NER.2011.5910523",

language = "English",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

pages = "203--207",

booktitle = "2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)",

address = "United States",

note = "5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER) ; Conference date: 27-04-2011 Through 01-05-2011",

}

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. i 2011 5TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 203-207, 5th International IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) Conference on Neural Engineering (NER), Cancun, Mexiko, 2011/04/27. https://doi.org/10.1109/NER.2011.5910523

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

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

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 -

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

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Forskningsoutput

Bitcoding the brain. Integration and organization of massive parallel neuronal data.

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