Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring

Alexander J. Casson; Esther Rodriguez-Villegas

doi:10.1109/CNE.2007.369670

Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring

Alexander J. Casson, Esther Rodriguez-Villegas

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Wireless ambulatory EEG (AEEG) monitoring over long periods of time is currently infeasible due to battery limitations and the EEG analysis time required. A detailed comparison of methods for reducing the amount of AEEG data is presented. It is concluded that a discontinuous recording scheme can alleviate both of the above problems. Discontinuous monitoring introduces data interpretation and practical issues which are discussed. With suitable low power algorithm implementations and realistic system expectations such systems are deemed to be feasible. © 2007 IEEE.

Original language	English
Title of host publication	Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering\|Proc. 3rd Int. IEEE EMBS Conf. Neural Eng.
Pages	298-301
Number of pages	3
DOIs	https://doi.org/10.1109/CNE.2007.369670
Publication status	Published - 2007
Event	3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI Duration: 1 Jul 2007 → …

Conference

Conference	3rd International IEEE EMBS Conference on Neural Engineering
City	Kohala Coast, HI
Period	1/07/07 → …

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10.1109/CNE.2007.369670

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@inproceedings{2a3d03b1dbbd4c3bb2aff27fca7515bc,

title = "Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring",

abstract = "Wireless ambulatory EEG (AEEG) monitoring over long periods of time is currently infeasible due to battery limitations and the EEG analysis time required. A detailed comparison of methods for reducing the amount of AEEG data is presented. It is concluded that a discontinuous recording scheme can alleviate both of the above problems. Discontinuous monitoring introduces data interpretation and practical issues which are discussed. With suitable low power algorithm implementations and realistic system expectations such systems are deemed to be feasible. {\textcopyright} 2007 IEEE.",

author = "Casson, {Alexander J.} and Esther Rodriguez-Villegas",

year = "2007",

doi = "10.1109/CNE.2007.369670",

language = "English",

isbn = "1424407923",

pages = "298--301",

booktitle = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering|Proc. 3rd Int. IEEE EMBS Conf. Neural Eng.",

note = "3rd International IEEE EMBS Conference on Neural Engineering ; Conference date: 01-07-2007",

}

Casson, AJ & Rodriguez-Villegas, E 2007, Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring. in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering|Proc. 3rd Int. IEEE EMBS Conf. Neural Eng.. pp. 298-301, 3rd International IEEE EMBS Conference on Neural Engineering, Kohala Coast, HI, 1/07/07. https://doi.org/10.1109/CNE.2007.369670

Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring. / Casson, Alexander J.; Rodriguez-Villegas, Esther.
Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering|Proc. 3rd Int. IEEE EMBS Conf. Neural Eng.. 2007. p. 298-301.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring

AU - Casson, Alexander J.

AU - Rodriguez-Villegas, Esther

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N2 - Wireless ambulatory EEG (AEEG) monitoring over long periods of time is currently infeasible due to battery limitations and the EEG analysis time required. A detailed comparison of methods for reducing the amount of AEEG data is presented. It is concluded that a discontinuous recording scheme can alleviate both of the above problems. Discontinuous monitoring introduces data interpretation and practical issues which are discussed. With suitable low power algorithm implementations and realistic system expectations such systems are deemed to be feasible. © 2007 IEEE.

AB - Wireless ambulatory EEG (AEEG) monitoring over long periods of time is currently infeasible due to battery limitations and the EEG analysis time required. A detailed comparison of methods for reducing the amount of AEEG data is presented. It is concluded that a discontinuous recording scheme can alleviate both of the above problems. Discontinuous monitoring introduces data interpretation and practical issues which are discussed. With suitable low power algorithm implementations and realistic system expectations such systems are deemed to be feasible. © 2007 IEEE.

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DO - 10.1109/CNE.2007.369670

M3 - Conference contribution

SN - 1424407923

SN - 9781424407927

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BT - Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering|Proc. 3rd Int. IEEE EMBS Conf. Neural Eng.

T2 - 3rd International IEEE EMBS Conference on Neural Engineering

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ER -

Data reduction techniques to facilitate wireless and long term AEEG epilepsy monitoring

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