The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: a systematic review

DT Tardo, M Peck, RN Subbiah… - Annals of …, 2023 - Wiley Online Library
Introduction QTc prolongation is key in diagnosing long QT syndrome (LQTS), however 25%–
50% with congenital LQTS (cLQTS) demonstrate a normal resting QTc. T wave morphology …

R-from-T as a common mechanism of arrhythmia initiation in long QT syndromes

MB Liu, N Vandersickel, AV Panfilov… - Circulation: Arrhythmia …, 2019 - ahajournals.org
Background: Long QT syndromes (LQTS) arise from many genetic and nongenetic causes
with certain characteristic ECG features preceding polymorphic ventricular tachyarrhythmias …

A homomorphic encryption-based system for securely managing personal health metrics data

R Bocu, C Costache - IBM Journal of Research and …, 2018 - ieeexplore.ieee.org
Hardware and software solutions for the collection of personal health information continue to
evolve. The reliable gathering of personal health information, previously usually possible …

[HTML][HTML] From genes to clinical management: A comprehensive review of long QT syndrome pathogenesis and treatment

W Zhu, X Bian, J Lv - Heart Rhythm O2, 2024 - Elsevier
Background Long QT Syndrome (LQTS) is a rare cardiac disorder characterized by
prolonged ventricular repolarization and increased risk of ventricular arrhythmias. This …

Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis

BJM Hermans, J Stoks, FC Bennis, AS Vink… - EP …, 2018 - academic.oup.com
Aims Diagnosing long QT syndrome (LQTS) is challenging due to a considerable overlap of
the QTc-interval between LQTS patients and healthy controls. The aim of this study was to …

An Improved Sliding Window Area Method for T Wave Detection

H Shang, S Wei, F Liu, D Wei… - … methods in medicine, 2019 - Wiley Online Library
Background. The T wave represents ECG repolarization, whose detection is required during
myocardial ischemia, and the first significant change in the ECG signal is being observed in …

Support system for classification of beat-to-beat arrhythmia based on variability and morphology of electrocardiogram

JA Queiroz, LMA Azoubel, AK Barros - EURASIP Journal on Advances in …, 2019 - Springer
Background Several authors use the RR interval, which is the temporal difference between
the largest waves (R waves) of the electrocardiogram (ECG), to propose a support system …

The diagnostic value of electrocardiogram-based machine learning in long QT syndrome: a systematic review and meta-analysis

MJ Wu, WQ Wang, W Zhang, JH Li… - Frontiers in …, 2023 - frontiersin.org
Introduction To perform a meta-analysis to discover the performance of ML algorithms in
identifying Congenital long QT syndrome (LQTS). Methods The searched databases …

A deep learning approach for diagnosing long QT syndrome without measuring QT interval

H Hajimolahoseini, D Redfearn, A Krahn - … , ON, Canada, May 28–31, 2019 …, 2019 - Springer
For decades, ECG segmentation and QT interval measurement have been two fundamental
steps in ECG-based diagnosis of the long QT syndrome (LQTS). However, due to the …