A real-time quality monitoring system for optimal recording of 12-lead resting ECG
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A real-time quality monitoring system for optimal recording of 12-lead resting ECG. / Jekova, Irena; Krasteva, Vessela; Leber, Remo; Schmid, Ramun; Twerenbold, Raphael; Reichlin, Tobias; Müller, Christian; Abächerli, Roger.
in: BIOMED SIGNAL PROCES, Jahrgang 34, 01.04.2017, S. 126-133.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - A real-time quality monitoring system for optimal recording of 12-lead resting ECG
AU - Jekova, Irena
AU - Krasteva, Vessela
AU - Leber, Remo
AU - Schmid, Ramun
AU - Twerenbold, Raphael
AU - Reichlin, Tobias
AU - Müller, Christian
AU - Abächerli, Roger
N1 - Publisher Copyright: © 2017 Elsevier Ltd
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Minimizing the impact of artifacts prior to the start of the ECG recording is an approach for providing a diagnostically reliable data. A solution to this problem is a continuous feedback of the ECG quality and prompt start of the recording at potentially the best quality. The real-time lead quality monitoring library (LQMLib) is introduced to trigger the recording of 10 s resting 12-lead ECG at the optimal snapshot moment (the earliest in time, the best in quality). The triggering condition considers the Snapshot quality (signal-to-noise ratio of the most noisy 4 s segment within 10 s) exceeding an adaptive quality threshold (AQT). The optimal AQT (descending from 85% down to 60% over 1 min) is validated on two independent clinical datasets from an emergency department, including 267/385 standard 12-lead ECGs. The test-validation LQMLib performance is: (84.7–87.2)% of ECGs would be triggered at their maximal Snapshot quality; (31.2–33.1)% at the optimal snapshot time (±2.5 s); (25.7–29.3)% would be started earlier, typical for high quality ECGs with progressively increasing supra-threshold Snapshot quality; (37.2–43.1)% would be recorded with a delay >2.5 s, typical for low quality ECGs with sub-threshold maximal Snapshot quality that is not validated as potentially the best quality until AQT criterion declines later within 1 min.
AB - Minimizing the impact of artifacts prior to the start of the ECG recording is an approach for providing a diagnostically reliable data. A solution to this problem is a continuous feedback of the ECG quality and prompt start of the recording at potentially the best quality. The real-time lead quality monitoring library (LQMLib) is introduced to trigger the recording of 10 s resting 12-lead ECG at the optimal snapshot moment (the earliest in time, the best in quality). The triggering condition considers the Snapshot quality (signal-to-noise ratio of the most noisy 4 s segment within 10 s) exceeding an adaptive quality threshold (AQT). The optimal AQT (descending from 85% down to 60% over 1 min) is validated on two independent clinical datasets from an emergency department, including 267/385 standard 12-lead ECGs. The test-validation LQMLib performance is: (84.7–87.2)% of ECGs would be triggered at their maximal Snapshot quality; (31.2–33.1)% at the optimal snapshot time (±2.5 s); (25.7–29.3)% would be started earlier, typical for high quality ECGs with progressively increasing supra-threshold Snapshot quality; (37.2–43.1)% would be recorded with a delay >2.5 s, typical for low quality ECGs with sub-threshold maximal Snapshot quality that is not validated as potentially the best quality until AQT criterion declines later within 1 min.
KW - Adaptive quality threshold
KW - ECG signal quality index
KW - Optimal snapshot time
KW - Signal-to-noise ratio
UR - http://www.scopus.com/inward/record.url?scp=85012299342&partnerID=8YFLogxK
U2 - 10.1016/j.bspc.2017.01.009
DO - 10.1016/j.bspc.2017.01.009
M3 - SCORING: Journal article
AN - SCOPUS:85012299342
VL - 34
SP - 126
EP - 133
JO - BIOMED SIGNAL PROCES
JF - BIOMED SIGNAL PROCES
SN - 1746-8094
ER -