Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction

A Aranda; P Bonizzi; J Karel; R Peeters

doi:10.1109/EMBC.2015.7319393

Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction

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

Abstract

This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected a set of relevant features for MI detection from the vectorcardiogram and used the lasso method after that to build a model for the Dower's inverse transform and one for the Frank leads system. Then we analyzed the performance between both models on MI detection. The proposed methods have been tested using PhysioNet PTB database that contains 550 records from which 368 are MIs. Two main conclusions are coming from this study. The first one is that Dower's inverse transform performs equally well than Frank leads in identification of MI patients. The second one is that lead positions have a large influence on the accuracy of MI patient identification.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE
Pages	4495-4498
Number of pages	4
Volume	2015
DOIs	https://doi.org/10.1109/EMBC.2015.7319393
Publication status	Published - Aug 2015
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Milan, Italy, MIlan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Publication series

Series	IEEE Engineering in Medicine and Biology Society
ISSN	1557-170X

Conference

Conference	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Abbreviated title	EMBC
Country/Territory	Italy
City	MIlan
Period	25/08/15 → 29/08/15
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Access to Document

10.1109/EMBC.2015.7319393

https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Cite this

@inproceedings{2b89c3ccf9c74beb916a184dbad18ca6,

title = "Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction",

abstract = "This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected a set of relevant features for MI detection from the vectorcardiogram and used the lasso method after that to build a model for the Dower's inverse transform and one for the Frank leads system. Then we analyzed the performance between both models on MI detection. The proposed methods have been tested using PhysioNet PTB database that contains 550 records from which 368 are MIs. Two main conclusions are coming from this study. The first one is that Dower's inverse transform performs equally well than Frank leads in identification of MI patients. The second one is that lead positions have a large influence on the accuracy of MI patient identification.",

author = "A Aranda and P Bonizzi and J Karel and R Peeters",

year = "2015",

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doi = "10.1109/EMBC.2015.7319393",

language = "English",

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publisher = "IEEE",

pages = "4495--4498",

booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

address = "United States",

note = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBC ; Conference date: 25-08-2015 Through 29-08-2015",

url = "https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding",

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Aranda, A , Bonizzi, P , Karel, J & Peeters, R 2015, Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). vol. 2015, IEEE, IEEE Engineering in Medicine and Biology Society, pp. 4495-4498, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), MIlan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7319393

Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction. / Aranda, A ; Bonizzi, P ; Karel, J et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2015 IEEE, 2015. p. 4495-4498 (IEEE Engineering in Medicine and Biology Society).

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

TY - GEN

T1 - Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction

AU - Aranda, A

AU - Bonizzi, P

AU - Karel, J

AU - Peeters, R

PY - 2015/8

Y1 - 2015/8

N2 - This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected a set of relevant features for MI detection from the vectorcardiogram and used the lasso method after that to build a model for the Dower's inverse transform and one for the Frank leads system. Then we analyzed the performance between both models on MI detection. The proposed methods have been tested using PhysioNet PTB database that contains 550 records from which 368 are MIs. Two main conclusions are coming from this study. The first one is that Dower's inverse transform performs equally well than Frank leads in identification of MI patients. The second one is that lead positions have a large influence on the accuracy of MI patient identification.

AB - This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected a set of relevant features for MI detection from the vectorcardiogram and used the lasso method after that to build a model for the Dower's inverse transform and one for the Frank leads system. Then we analyzed the performance between both models on MI detection. The proposed methods have been tested using PhysioNet PTB database that contains 550 records from which 368 are MIs. Two main conclusions are coming from this study. The first one is that Dower's inverse transform performs equally well than Frank leads in identification of MI patients. The second one is that lead positions have a large influence on the accuracy of MI patient identification.

U2 - 10.1109/EMBC.2015.7319393

DO - 10.1109/EMBC.2015.7319393

M3 - Conference article in proceeding

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VL - 2015

T3 - IEEE Engineering in Medicine and Biology Society

SP - 4495

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BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Y2 - 25 August 2015 through 29 August 2015

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Aranda A , Bonizzi P , Karel J , Peeters R. Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2015. IEEE. 2015. p. 4495-4498. (IEEE Engineering in Medicine and Biology Society). doi: 10.1109/EMBC.2015.7319393