Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

Hossein Moeinzadeh; Gaetano D. Gargiulo; Paolo Bifulco; Mario Cesarelli; Alistair L. McEwan; Aiden O'Loughlin; Ibrahim M. Shugman; Jonathan C. Tapson; Aravinda Thiagalingam

doi:10.1145/3067695.3076090

Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

Hossein Moeinzadeh, Gaetano D. Gargiulo, Paolo Bifulco, Mario Cesarelli, Alistair L. McEwan, Aiden O'Loughlin, Ibrahim M. Shugman, Jonathan C. Tapson, Aravinda Thiagalingam

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

![CDATA[Modern electrocardiography (ECG)1 uses the Wilson Central Terminal (WCT) as a reference point for the majority of leads. WCT is assumed to be near zero and steady during the cardiac cycle. However, due to the measurement encumbrances of the real amplitude of WCT, this assumption has never been verified in clinical practice. Using our own recently developed 15-lead ECG device that can measure WCT components in addition to 12-lead ECGs in a clinical setting, we propose a framework to derive a New Central Terminal (NCT) with demonstrated less variation and near zero amplitude during the cardiac cycle. Our method is based upon application of a Genetic Algorithm (first 1000 samples), and then a linear regression to calculate the NCT for the rest of the recording.]]

Original language	English
Title of host publication	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany
Publisher	ACM Press
Pages	293-294
Number of pages	2
ISBN (Print)	9781450349390
DOIs	https://doi.org/10.1145/3067695.3076090
Publication status	Published - 2017
Event	Genetic and Evolutionary Computation Conference - Duration: 1 Jan 2017 → …

Conference

Conference	Genetic and Evolutionary Computation Conference
Period	1/01/17 → …

Keywords

electrocardiography
genetic algorithms
regression analysis

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10.1145/3067695.3076090

Cite this

Moeinzadeh, H., Gargiulo, G. D., Bifulco, P., Cesarelli, M., McEwan, A. L., O'Loughlin, A., Shugman, I. M., Tapson, J. C., & Thiagalingam, A. (2017). Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany (pp. 293-294). ACM Press. https://doi.org/10.1145/3067695.3076090

@inproceedings{d0b896f710ef4b808a2af479a3af8083,

title = "Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data",

abstract = "![CDATA[Modern electrocardiography (ECG)1 uses the Wilson Central Terminal (WCT) as a reference point for the majority of leads. WCT is assumed to be near zero and steady during the cardiac cycle. However, due to the measurement encumbrances of the real amplitude of WCT, this assumption has never been verified in clinical practice. Using our own recently developed 15-lead ECG device that can measure WCT components in addition to 12-lead ECGs in a clinical setting, we propose a framework to derive a New Central Terminal (NCT) with demonstrated less variation and near zero amplitude during the cardiac cycle. Our method is based upon application of a Genetic Algorithm (first 1000 samples), and then a linear regression to calculate the NCT for the rest of the recording.]]",

keywords = "electrocardiography, genetic algorithms, regression analysis",

author = "Hossein Moeinzadeh and Gargiulo, {Gaetano D.} and Paolo Bifulco and Mario Cesarelli and McEwan, {Alistair L.} and Aiden O'Loughlin and Shugman, {Ibrahim M.} and Tapson, {Jonathan C.} and Aravinda Thiagalingam",

year = "2017",

doi = "10.1145/3067695.3076090",

language = "English",

isbn = "9781450349390",

pages = "293--294",

booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany",

publisher = "ACM Press",

note = "Genetic and Evolutionary Computation Conference ; Conference date: 01-01-2017",

}

Moeinzadeh, H, Gargiulo, GD, Bifulco, P, Cesarelli, M, McEwan, AL, O'Loughlin, A, Shugman, IM, Tapson, JC & Thiagalingam, A 2017, Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany. ACM Press, pp. 293-294, Genetic and Evolutionary Computation Conference, 1/01/17. https://doi.org/10.1145/3067695.3076090

Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. / Moeinzadeh, Hossein; Gargiulo, Gaetano D.; Bifulco, Paolo et al.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany. ACM Press, 2017. p. 293-294.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

AU - Moeinzadeh, Hossein

AU - Gargiulo, Gaetano D.

AU - Bifulco, Paolo

AU - Cesarelli, Mario

AU - McEwan, Alistair L.

AU - O'Loughlin, Aiden

AU - Shugman, Ibrahim M.

AU - Tapson, Jonathan C.

AU - Thiagalingam, Aravinda

PY - 2017

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N2 - ![CDATA[Modern electrocardiography (ECG)1 uses the Wilson Central Terminal (WCT) as a reference point for the majority of leads. WCT is assumed to be near zero and steady during the cardiac cycle. However, due to the measurement encumbrances of the real amplitude of WCT, this assumption has never been verified in clinical practice. Using our own recently developed 15-lead ECG device that can measure WCT components in addition to 12-lead ECGs in a clinical setting, we propose a framework to derive a New Central Terminal (NCT) with demonstrated less variation and near zero amplitude during the cardiac cycle. Our method is based upon application of a Genetic Algorithm (first 1000 samples), and then a linear regression to calculate the NCT for the rest of the recording.]]

AB - ![CDATA[Modern electrocardiography (ECG)1 uses the Wilson Central Terminal (WCT) as a reference point for the majority of leads. WCT is assumed to be near zero and steady during the cardiac cycle. However, due to the measurement encumbrances of the real amplitude of WCT, this assumption has never been verified in clinical practice. Using our own recently developed 15-lead ECG device that can measure WCT components in addition to 12-lead ECGs in a clinical setting, we propose a framework to derive a New Central Terminal (NCT) with demonstrated less variation and near zero amplitude during the cardiac cycle. Our method is based upon application of a Genetic Algorithm (first 1000 samples), and then a linear regression to calculate the NCT for the rest of the recording.]]

KW - electrocardiography

KW - genetic algorithms

KW - regression analysis

UR - http://hdl.handle.net/1959.7/uws:42630

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DO - 10.1145/3067695.3076090

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SN - 9781450349390

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BT - Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany

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Moeinzadeh H, Gargiulo GD, Bifulco P, Cesarelli M, McEwan AL, O'Loughlin A et al. Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17), 15 - 19 July, 2017, Berlin, Germany. ACM Press. 2017. p. 293-294 doi: 10.1145/3067695.3076090

Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

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Keywords

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