A polynomial approximation approach for analyzing ST shape change

G. Y. Jeong; K. H. Yu; N. G. Kim

doi:10.1109/iembs.2005.1615347

A polynomial approximation approach for analyzing ST shape change

G. Y. Jeong^*
, K. H. Yu
, N. G. Kim

^*Corresponding author for this work

Department of Aerospace Engineering

Jeonbuk National University

Research output: Contribution to conference › Conference paper › peer-review

7 Scopus citations

Abstract

ST segment is the most important diagnostic parameter to finding myocardial ischemia. Generally physicians make theirs effort to find the change of ST level and shape in EGG to diagnose myocardial ischemia. Most of algorithms that have been developed until now place importance on the ST segment depression and elevation. However, ST change in shape is also good parameter to find a heart disease and it should be considered prudently. The aim of this study is to detect the change of ST in shape using a polynomial approximation method. The developed algorithm finds the least squares curve for the data between S wave and T wave in ECG and calculates the variance of ST shape. An approximate curve of ST is represented by one polynomial over the whole ST or three polynomials for the segmented ST by three parts. The algorithm considers only the relative change of ST shape based on the reference ST, normal shape typically. From the results of the developed algorithm, we can acquire visually the information about the place to include the change of ST shape in the test ECG provided by European ST database.

Original language	English
Title of host publication	Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4034-4037
Number of pages	4
ISBN (Print)	0780387406, 9780780387409
DOIs	https://doi.org/10.1109/iembs.2005.1615347
State	Published - 2005
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: 2005.09.1 → 2005.09.4

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	7 VOLS
ISSN (Print)	0589-1019

Conference

Conference	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	05.09.1 → 05.09.4

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems
Medicine
Data Science
Biological Sciences

Access to Document

10.1109/iembs.2005.1615347

Cite this

Jeong, G. Y., Yu, K. H., & Kim, N. G. (2005). A polynomial approximation approach for analyzing ST shape change. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 4034-4037). Article 1615347 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iembs.2005.1615347

Jeong, G. Y. ; Yu, K. H. ; Kim, N. G. / A polynomial approximation approach for analyzing ST shape change. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc., 2005. pp. 4034-4037 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

@inproceedings{a533fc68b3c94a12aa524c1340ff0c72,

title = "A polynomial approximation approach for analyzing ST shape change",

abstract = "ST segment is the most important diagnostic parameter to finding myocardial ischemia. Generally physicians make theirs effort to find the change of ST level and shape in EGG to diagnose myocardial ischemia. Most of algorithms that have been developed until now place importance on the ST segment depression and elevation. However, ST change in shape is also good parameter to find a heart disease and it should be considered prudently. The aim of this study is to detect the change of ST in shape using a polynomial approximation method. The developed algorithm finds the least squares curve for the data between S wave and T wave in ECG and calculates the variance of ST shape. An approximate curve of ST is represented by one polynomial over the whole ST or three polynomials for the segmented ST by three parts. The algorithm considers only the relative change of ST shape based on the reference ST, normal shape typically. From the results of the developed algorithm, we can acquire visually the information about the place to include the change of ST shape in the test ECG provided by European ST database.",

author = "Jeong, \{G. Y.\} and Yu, \{K. H.\} and Kim, \{N. G.\}",

year = "2005",

doi = "10.1109/iembs.2005.1615347",

language = "English",

isbn = "0780387406",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

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

pages = "4034--4037",

booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

note = "2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",

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Jeong, GY, Yu, KH & Kim, NG 2005, A polynomial approximation approach for analyzing ST shape change. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1615347, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, Institute of Electrical and Electronics Engineers Inc., pp. 4034-4037, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 05.09.1. https://doi.org/10.1109/iembs.2005.1615347

A polynomial approximation approach for analyzing ST shape change. / Jeong, G. Y.; Yu, K. H.; Kim, N. G.
Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc., 2005. p. 4034-4037 1615347 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - A polynomial approximation approach for analyzing ST shape change

AU - Jeong, G. Y.

AU - Yu, K. H.

AU - Kim, N. G.

PY - 2005

Y1 - 2005

N2 - ST segment is the most important diagnostic parameter to finding myocardial ischemia. Generally physicians make theirs effort to find the change of ST level and shape in EGG to diagnose myocardial ischemia. Most of algorithms that have been developed until now place importance on the ST segment depression and elevation. However, ST change in shape is also good parameter to find a heart disease and it should be considered prudently. The aim of this study is to detect the change of ST in shape using a polynomial approximation method. The developed algorithm finds the least squares curve for the data between S wave and T wave in ECG and calculates the variance of ST shape. An approximate curve of ST is represented by one polynomial over the whole ST or three polynomials for the segmented ST by three parts. The algorithm considers only the relative change of ST shape based on the reference ST, normal shape typically. From the results of the developed algorithm, we can acquire visually the information about the place to include the change of ST shape in the test ECG provided by European ST database.

AB - ST segment is the most important diagnostic parameter to finding myocardial ischemia. Generally physicians make theirs effort to find the change of ST level and shape in EGG to diagnose myocardial ischemia. Most of algorithms that have been developed until now place importance on the ST segment depression and elevation. However, ST change in shape is also good parameter to find a heart disease and it should be considered prudently. The aim of this study is to detect the change of ST in shape using a polynomial approximation method. The developed algorithm finds the least squares curve for the data between S wave and T wave in ECG and calculates the variance of ST shape. An approximate curve of ST is represented by one polynomial over the whole ST or three polynomials for the segmented ST by three parts. The algorithm considers only the relative change of ST shape based on the reference ST, normal shape typically. From the results of the developed algorithm, we can acquire visually the information about the place to include the change of ST shape in the test ECG provided by European ST database.

UR - https://www.scopus.com/pages/publications/33846921848

U2 - 10.1109/iembs.2005.1615347

DO - 10.1109/iembs.2005.1615347

M3 - Conference paper

AN - SCOPUS:33846921848

SN - 0780387406

SN - 9780780387409

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

SP - 4034

EP - 4037

BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 1 September 2005 through 4 September 2005

ER -

Jeong GY, Yu KH, Kim NG. A polynomial approximation approach for analyzing ST shape change. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. Institute of Electrical and Electronics Engineers Inc. 2005. p. 4034-4037. 1615347. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/iembs.2005.1615347

A polynomial approximation approach for analyzing ST shape change

Abstract

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UN SDGs

Quacquarelli Symonds(QS) Subject Topics

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