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Intersubject variability and intrasubject reproducibility of 12-lead ECG metrics: Implications for human verification.

Abstract：

BACKGROUND:Electrocardiogram (ECG) biometrics is an advanced technology, not yet covered by guidelines on criteria, features and leads for maximal authentication accuracy. OBJECTIVE:This study aims to define the minimal set of morphological metrics in 12-lead ECG by optimization towards high reliability and security, and validation in a person verification model across a large population. METHODS:A standard 12-lead resting ECG database from 574 non-cardiac patients with two remote recordings (>1year apart) was used. A commercial ECG analysis module (Schiller AG) measured 202 morphological features, including lead-specific amplitudes, durations, ST-metrics, and axes. Coefficient of variation (CV, intersubject variability) and percent-mean-absolute-difference (PMAD, intrasubject reproducibility) defined the optimization (PMAD/CV→min) and restriction (CV<30%) criteria for selection of the most stable and distinctive features. Linear discriminant analysis (LDA) validated the non-redundant feature set for person verification. RESULTS AND CONCLUSIONS:Maximal LDA verification sensitivity (85.3%) and specificity (86.4%) were validated for 11 optimal features: R-amplitude (I,II,V1,V2,V3,V5), S-amplitude (V1,V2), Tnegative-amplitude (aVR), and R-duration (aVF,V1).

journal_name

J Electrocardiol

journal_title

Journal of electrocardiology

authors

Jekova I,Krasteva V,Leber R,Schmid R,Twerenbold R,Müller C,Reichlin T,Abächerli R

doi

10.1016/j.jelectrocard.2016.07.021

subject

Has Abstract

pub_date

2016-01-01 00:00:00

pages

784-789

issue

6

eissn

0022-0736

issn

1532-8430

pii

S0022-0736(16)30099-1

journal_volume

49

pub_type

杂志文章

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