Extended multiple linear regression in the derivation of electrocardiographic leads

Daniel Guldenring, D Finlay, CD Nugent, Mark Donnelly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study we investigate the performance of an approach for deriving electrocardiographic leads with the aim of improving derivation accuracy. We focus our attention on a limited lead system that uses leads I, II, V2 and V5 to derive the remaining precordial leads. Our extended multiple linear regression based lead transformation (EMLRLT) approach extends the standard multiple linear regression based lead transformation (MLRLT) approach by combining the data from the recorded leads with quadratic and cross product terms from the same leads. It was found that all missing leads were more accurately derived using an EMLRLT approach in comparison with the MLRLT approach. Using the standard MLRLT approach, the median RMSEs for the QRST were found to be 44.2μV, 42.7μV, 40.3μV and 19.3μV for leads V1, V3, V4 and V6, respectively. Using the EMLRLT approach, the median RMSEs for the QRST were found to be 28.2μV, 29.3μV, 25.1μV and 13.4μV for leads V1, V3, V4 and V6, respectively. According to the sign test, all differences were statistically significant with p
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusPublished - 29 Sep 2010
EventComputing in Cardiology - Belfast, UK
Duration: 29 Sep 2010 → …

Conference

ConferenceComputing in Cardiology
Period29/09/10 → …

Fingerprint

comparison
test

Cite this

@inproceedings{cf65825c73ae4591b7d74efa057b4744,
title = "Extended multiple linear regression in the derivation of electrocardiographic leads",
abstract = "In this study we investigate the performance of an approach for deriving electrocardiographic leads with the aim of improving derivation accuracy. We focus our attention on a limited lead system that uses leads I, II, V2 and V5 to derive the remaining precordial leads. Our extended multiple linear regression based lead transformation (EMLRLT) approach extends the standard multiple linear regression based lead transformation (MLRLT) approach by combining the data from the recorded leads with quadratic and cross product terms from the same leads. It was found that all missing leads were more accurately derived using an EMLRLT approach in comparison with the MLRLT approach. Using the standard MLRLT approach, the median RMSEs for the QRST were found to be 44.2μV, 42.7μV, 40.3μV and 19.3μV for leads V1, V3, V4 and V6, respectively. Using the EMLRLT approach, the median RMSEs for the QRST were found to be 28.2μV, 29.3μV, 25.1μV and 13.4μV for leads V1, V3, V4 and V6, respectively. According to the sign test, all differences were statistically significant with p",
author = "Daniel Guldenring and D Finlay and CD Nugent and Mark Donnelly",
year = "2010",
month = "9",
day = "29",
language = "English",
booktitle = "Unknown Host Publication",

}

Guldenring, D, Finlay, D, Nugent, CD & Donnelly, M 2010, Extended multiple linear regression in the derivation of electrocardiographic leads. in Unknown Host Publication. Computing in Cardiology, 29/09/10.

Extended multiple linear regression in the derivation of electrocardiographic leads. / Guldenring, Daniel; Finlay, D; Nugent, CD; Donnelly, Mark.

Unknown Host Publication. 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Extended multiple linear regression in the derivation of electrocardiographic leads

AU - Guldenring, Daniel

AU - Finlay, D

AU - Nugent, CD

AU - Donnelly, Mark

PY - 2010/9/29

Y1 - 2010/9/29

N2 - In this study we investigate the performance of an approach for deriving electrocardiographic leads with the aim of improving derivation accuracy. We focus our attention on a limited lead system that uses leads I, II, V2 and V5 to derive the remaining precordial leads. Our extended multiple linear regression based lead transformation (EMLRLT) approach extends the standard multiple linear regression based lead transformation (MLRLT) approach by combining the data from the recorded leads with quadratic and cross product terms from the same leads. It was found that all missing leads were more accurately derived using an EMLRLT approach in comparison with the MLRLT approach. Using the standard MLRLT approach, the median RMSEs for the QRST were found to be 44.2μV, 42.7μV, 40.3μV and 19.3μV for leads V1, V3, V4 and V6, respectively. Using the EMLRLT approach, the median RMSEs for the QRST were found to be 28.2μV, 29.3μV, 25.1μV and 13.4μV for leads V1, V3, V4 and V6, respectively. According to the sign test, all differences were statistically significant with p

AB - In this study we investigate the performance of an approach for deriving electrocardiographic leads with the aim of improving derivation accuracy. We focus our attention on a limited lead system that uses leads I, II, V2 and V5 to derive the remaining precordial leads. Our extended multiple linear regression based lead transformation (EMLRLT) approach extends the standard multiple linear regression based lead transformation (MLRLT) approach by combining the data from the recorded leads with quadratic and cross product terms from the same leads. It was found that all missing leads were more accurately derived using an EMLRLT approach in comparison with the MLRLT approach. Using the standard MLRLT approach, the median RMSEs for the QRST were found to be 44.2μV, 42.7μV, 40.3μV and 19.3μV for leads V1, V3, V4 and V6, respectively. Using the EMLRLT approach, the median RMSEs for the QRST were found to be 28.2μV, 29.3μV, 25.1μV and 13.4μV for leads V1, V3, V4 and V6, respectively. According to the sign test, all differences were statistically significant with p

M3 - Conference contribution

BT - Unknown Host Publication

ER -