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Comparison of Novel Telemonitoring System Using the Single-lead Electrocardiogram Patch With Conventional Telemetry System

Comparison of Novel Telemonitoring System Using the Single-lead Electrocardiogram Patch With Conventional Telemetry SystemKwon S, et al. Korean Circ J. 2024 Mar;54(3):140-153. https://doi.org/10.4070/kcj.2023.0252https://doi.org/10.4070/kcj.2023.0252hongeuy1046gmail.com Published KCJ 2024.03 Author Soonil Kwon, Eue-Keun Choi,

Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram Monitoring for Arrhythmia Detection after Cardiac Surgery

Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram Monitoring for Arrhythmia Detection after Cardiac SurgerySeungji Hyun, M.D., Seungwook Lee, M.D., Yu Sun Hong, M.D., Sang-hyun Lim, M.D., Ph.D., Do Jung Kim, M.D.. J Chest Surg 2024;57:205-12. https://doi.org/10.

Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram Monitoring for Arrhythmia Detection after Cardiac Surgery

Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram Monitoring for Arrhythmia Detection after Cardiac SurgerySeungji Hyun, M.D., Seungwook Lee, M.D., Yu Sun Hong, M.D., Sang-hyun Lim, M.D., Ph.D., Do Jung Kim, M.D.. J Chest Surg 2024;57:205-12. https://doi.org/10.

Three-Day Monitoring of Adhesive Single-Lead Electrocardiogram Patch for Premature Ventricular Complex: Prospective Study for Diagnosis Validation and Evaluation of Burden Fluctuatio

Three-Day Monitoring of Adhesive Single-Lead Electrocardiogram Patch for Premature Ventricular Complex: Prospective Study for Diagnosis Validation and Evaluation of Burden FluctuationBackground: Wearable electrocardiogram (ECG) monitoring devices are used worldwide. However, data on the diagnostic yield of an adhesive single-lead ECG patch (SEP) to detect premature ventricular complex (PVC) and the

Identification of Atrial Fibrillation with Single-Lead Mobile ECG during Normal Sinus Rhythm using Deep Learning

https://jkms.org/DOIx.php?id=10.3346/jkms.2024.39.e56 Published JKMS 2024.01 Author Jiwoong Kim, Sun Jung Lee, Bonggyun Ko, Myungeun Lee, Young-Shin Lee, Ki Hong Lee

Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction

https://ebooks.iospress.nl/volumearticle/66602?_gl=1*1tr4wmj*_up*MQ..*_ga*MTYxMjE5MDMxMC4xNzE0NDUyNTg0*_ga_6N3Q0141SM*MTcxNDQ1MjU4My4xLjEuMTcxNDQ1MjYwNC4wLjAuMA.. Published medinfo 2023 Author Ja Hyung Koo, Sun Jung Lee, Yun Kwan Kim, Hee Seok Song

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort StudyBackground: Cardiac arrest (CA) is the leading cause of death in critically ill patients. Clinical research has shown that early identification of CA reduces mortality. Algorithms capable of predicting CA with high sensitivity have