PREDICTION OF THE HEART RATE CORRECTED QT INTERVAL (QTC) FROM A NOVEL, MULTILEAD SMARTPHONE-ENABLED ECG USING A DEEP NEURAL NETWORK
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Single-lead or 6-lead ECG can reasonably measure the QTc interval but with clinically significant variability.
“Single-lead or 6-lead ECG was able to reasonably measure the QTc interval but with clinically significant variability”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [79]
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Smart wearable devices in cardiovascular care: Where we are and how to move forward
Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., Martin, S. S., Muse, E. D., Turakhia, M. P., Tarakji, K. G., et al. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00522-7 · Cited by 829 · see citing works
Risk of QTc prolongation among cancer patients treated with tyrosine kinase inhibitors
Rmilah, A. A. A., Lin, G. R., Begna, K. H., et al. (2020) · International Journal of Cancer · doi:10.1002/ijc.33119 · Cited by 76 · see citing works
Self-citationNurmaini, S., Tondas, A. E., Darmawahyuni, A., et al. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100507 · Cited by 45 · see citing works
Xie, Y., Li, C., Tang, G., et al. (2020) · Energy · doi:10.1016/j.energy.2020.119179 · Cited by 43 · see citing works
QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG
Alam, R., Aguirre, A. D., & Stultz, C. M. (2023) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc40787.2023.10341204 · Cited by 9 · see citing works
“Whereas, [9] used a DNN to regress the intervals directly from 12-lead ECG, achieving the variance of difference reported in SD diff of about 16 ms.”
BackgroundMethodApple Watch-guided diagnosis of AVNRT in a pregnant woman—A case report and literature review
Hawryszko, M., Sławiński, G., Kozłowski, D., & Lewicka, E. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.985421 · Cited by 6 · see citing works
“The single-lead ECG patch BodyGuardian (Preventice Solutions Group, USA) and the algorithm-predicted QTc from the KardiaMobile 6-lead ECG compared to the 12-lead ECG confirmed the satisfactory quality of this type of measurements (15, 16).”
Method
- Authors
- Schram, M., Shreibati, J. B., Bos, M., Galloway, C., Valys, A., Petterson, F., Gundotra, V., Albert, D., Attia, Z. I., Noseworthy, P., Friedman, P., & Ackerman, M.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 73
- Issue
- 9
- Pages
- 368
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2920507217
- Cited by
- 6
- References
- 0
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- QTc interval, QTc prolongation, smartphone ECG, multi-lead ECG, deep neural network, arrhythmia prediction, cardiac arrest risk
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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