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An extended review concerning the relevance of deep learning and privacy techniques for data-driven soft sensors
The continuously increasing number of mobile devices actively being used in the world
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
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 …
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
Background: Long QT syndromes (LQTS) arise from many genetic and nongenetic causes
with certain characteristic ECG features preceding polymorphic ventricular tachyarrhythmias …
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 …
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 …
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
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 …
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 …
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 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 …
identifying Congenital long QT syndrome (LQTS). Methods The searched databases …
A deep learning approach for diagnosing long QT syndrome without measuring QT interval
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 …
steps in ECG-based diagnosis of the long QT syndrome (LQTS). However, due to the …