A real-time quality monitoring system for optimal recording of 12-lead resting ECG. (April 2017)
- Record Type:
- Journal Article
- Title:
- A real-time quality monitoring system for optimal recording of 12-lead resting ECG. (April 2017)
- Main Title:
- A real-time quality monitoring system for optimal recording of 12-lead resting ECG
- Authors:
- Jekova, Irena
Krasteva, Vessela
Leber, Remo
Schmid, Ramun
Twerenbold, Raphael
Reichlin, Tobias
Müller, Christian
Abächerli, Roger - Abstract:
- Highlights: Quality monitoring system detects the earliest start of diagnostically reliable ECG. Details about global snapshot quality measures of 12-lead ECG are revealed. Adaptive quality threshold is optimized and validated on ECGs from emergency unit. At least 85% of ECGs would be triggered at potentially the best quality. At least 55% of ECGs would be triggered not late than 2.5 s after their best quality. Abstract: 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 withHighlights: Quality monitoring system detects the earliest start of diagnostically reliable ECG. Details about global snapshot quality measures of 12-lead ECG are revealed. Adaptive quality threshold is optimized and validated on ECGs from emergency unit. At least 85% of ECGs would be triggered at potentially the best quality. At least 55% of ECGs would be triggered not late than 2.5 s after their best quality. Abstract: 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. … (more)
- Is Part Of:
- Biomedical signal processing and control. Volume 34(2017)
- Journal:
- Biomedical signal processing and control
- Issue:
- Volume 34(2017)
- Issue Display:
- Volume 34, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 34
- Issue:
- 2017
- Issue Sort Value:
- 2017-0034-2017-0000
- Page Start:
- 126
- Page End:
- 133
- Publication Date:
- 2017-04
- Subjects:
- ECG signal quality index -- Signal-to-noise ratio -- Optimal snapshot time -- Adaptive quality threshold
Signal processing -- Periodicals
Biomedical engineering -- Periodicals
Signal Processing, Computer-Assisted -- Periodicals
Image Processing, Computer-Assisted -- Periodicals
Biomedical Engineering -- Periodicals
610.28 - Journal URLs:
- http://www.sciencedirect.com/science/journal/17468094 ↗
http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%2329675%232006%23999989998%23626449%23FLA%23&_cdi=29675&_pubType=J&_auth=y&_acct=C000045259&_version=1&_urlVersion=0&_userid=836873&md5=664b5cf9a57fc91971a17faf20c32ec1 ↗ - DOI:
- 10.1016/j.bspc.2017.01.009 ↗
- Languages:
- English
- ISSNs:
- 1746-8094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.880400
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