Grid sensors for biosignal monitoring

Eric T. McAdams; James A. McLaughlin; John Mc C. Anderson

doi:10.1109/iembs.1993.978880

Grid sensors for biosignal monitoring

Eric T. McAdams, James A. McLaughlin, John Mc C. Anderson

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

Abstract

In the past, sensors in the form of grids have been proposed in order to minimize material costs. It is shown, however, that the defibrillation recovery characteristics of such gird electrodes are greatly influenced by the thickness of the grids peripheral lines. The central portion of the grid is relatively redundant and hence the grid design is not optimal.

Original language	English
Title of host publication	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Publisher	Publ by IEEE
Pages	877-878
Number of pages	2
Edition	pt 2
ISBN (Print)	0780313771, 9780780313774
DOIs	https://doi.org/10.1109/iembs.1993.978880
Publication status	Published (in print/issue) - 1993
Event	Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3) - San Diego, CA, USA Duration: 28 Oct 1993 → 31 Oct 1993

Publication series

Name	Proceedings of the Annual Conference on Engineering in Medicine and Biology
Number	pt 2
Volume	15
ISSN (Print)	0589-1019

Conference

Conference	Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3)
City	San Diego, CA, USA
Period	28/10/93 → 31/10/93

Bibliographical note

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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10.1109/iembs.1993.978880

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title = "Grid sensors for biosignal monitoring",

abstract = "In the past, sensors in the form of grids have been proposed in order to minimize material costs. It is shown, however, that the defibrillation recovery characteristics of such gird electrodes are greatly influenced by the thickness of the grids peripheral lines. The central portion of the grid is relatively redundant and hence the grid design is not optimal.",

author = "McAdams, {Eric T.} and McLaughlin, {James A.} and Anderson, {John Mc C.}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3) ; Conference date: 28-10-1993 Through 31-10-1993",

year = "1993",

doi = "10.1109/iembs.1993.978880",

language = "English",

isbn = "0780313771",

series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

publisher = "Publ by IEEE",

number = "pt 2",

pages = "877--878",

booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",

edition = "pt 2",

}

McAdams, ET, McLaughlin, JA & Anderson, JMC 1993, Grid sensors for biosignal monitoring. in Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 2 edn, Proceedings of the Annual Conference on Engineering in Medicine and Biology, no. pt 2, vol. 15, Publ by IEEE, pp. 877-878, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3), San Diego, CA, USA, 28/10/93. https://doi.org/10.1109/iembs.1993.978880

Grid sensors for biosignal monitoring. / McAdams, Eric T.; McLaughlin, James A.; Anderson, John Mc C.

Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 2. ed. Publ by IEEE, 1993. p. 877-878 (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 15, No. pt 2).

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

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M3 - Conference contribution

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T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology

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BT - Proceedings of the Annual Conference on Engineering in Medicine and Biology

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T2 - Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3)

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ER -

Grid sensors for biosignal monitoring

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