Results 31 to 40 of about 2,519 (136)

Using QRS loop descriptors to characterize the risk of sudden cardiac death in patients with structurally normal hearts

PLoS ONE, 2022
The predictive value of non-invasive electrocardiographic examination findings for the risk of sudden cardiac death (SCD) in populations with structurally normal hearts remains unclear.
Cheng-I Wu, Yenn-Jiang Lin, I-Hsin Lee, Men-Tzung Lo, Yu-Cheng Hsieh, Amelia Yun-Yu Chen, Wei-Kai Wang, Shih-Lin Chang, Li-Wei Lo, Yu-Feng Hu, Fa-Po Chung, Ta-Chuan Tuan, Tze-Fan Chao, Jo-Nan Liao, Wan-Hsin Hsieh, Ting-Yung Chang, Chin-Yu Lin, An-Ning Feng, Chorng-Kuang How, Shih-Ann Chen   +19 more
doaj   +2 more sources

Vectorcardiographic Ventricular Gradient with Constituents, and Myocardial Action Potential Parameter Distribution

Measurement Science Review, 2022
Theoretical grounds of integral vectors of ventricular depolarization and repolarization and their sum, i.e., the spatial ventricular gradient, have been studied.
Aidu Eduard A. I., Trunov Vladimir G.
doaj   +1 more source

Classification of Cardiac Signals in Order to Diagnose Myocardial Infarction based on Extraction of Morphological Features from Spatio-Temporal Patterns of Vectorcardiogram Signals

مجله دانشکده پزشکی اصفهان, 2020
Background: One of the most common cardiovascular diseases (CVDs) in the world is myocardial infarction (MI). By analyzing electrocardiogram and vectorcardiography (VCG) signals, it is possible to identify and characterize heart diseases such as MI.
Nastaran Jafari-Hafshejani, Alireza mehri Mehri-Dehnavi, Reza Hajian, Shabnam Boudagh, Mohaddeseh Behjati   +4 more
doaj   +1 more source

Statistical Evaluation of Transformation Methods Accuracy on Derived Pathological Vectorcardiographic Leads

IEEE Journal of Translational Engineering in Health and Medicine, 2022
Objective: Vectorcardiography (VCG) as an alternative form of ECG provides important spatial information about the electrical activity of the heart.
Jaroslav Vondrak, Marek Penhakert
doaj   +1 more source

Cardiac Arrhythmia classification based on 3D recurrence plot analysis and deep learning

Frontiers in Physiology, 2022
Artificial intelligence (AI) aided cardiac arrhythmia (CA) classification has been an emerging research topic. Existing AI-based classification methods commonly analyze electrocardiogram (ECG) signals in lower dimensions, using one-dimensional (1D ...
Hua Zhang, Chengyu Liu, Fangfang Tang, Mingyan Li, Dongxia Zhang, Ling Xia, Nan Zhao, Sheng Li, Stuart Crozier, Wenlong Xu, Feng Liu   +10 more
doaj   +1 more source

Bayesian Approach to Patient-Tailored Vectorcardiography [PDF]

IEEE Transactions on Biomedical Engineering, 2010
R. Vullings, C. Peters, Iman S. Mossavat, S. Oei, J. Bergmans   +4 more
semanticscholar   +2 more sources

Reduction in the QRS area after cardiac resynchronization therapy is associated with survival and echocardiographic response

Journal of Cardiovascular Electrophysiology, Volume 32, Issue 3, Page 813-822, March 2021., 2021
Abstract Introduction Recent studies have shown that the baseline QRS area is associated with the clinical response after cardiac resynchronization therapy (CRT). In this study, we investigated the association of QRS area reduction (∆QRS area) after CRT with the outcome.
Mohammed A. Ghossein, Antonius M. W. van Stipdonk, Filip Plesinger, Mariëlle Kloosterman, Philippe C. Wouters, Odette A. E. Salden, Mathias Meine, Alexander H. Maass, Frits W. Prinzen, Kevin Vernooy   +9 more
wiley   +1 more source

A wavelet-based VCG QRS loop boundaries and isoelectric coordinates detector

Frontiers in Physiology, 2022
This paper deals with a wavelet-based algorithm for automatic detection of isoelectric coordinates of individual QRS loops of VCG record. Fiducial time instants of QRS peak, QRS onset, QRS end, and isoelectric PQ interval are evaluated on three VCG leads
Jan Kijonka, Jan Kijonka, Petr Vavra, Pavel Zonca, Marek Penhaker, Marek Penhaker   +5 more
doaj   +1 more source

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Sensors, 2021
Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice.
Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova, Aleksandra Kawala-Sterniuk   +6 more
doaj   +1 more source

A Comparison of Personalized and Generalized LSTM Neural Networks for Deriving VCG from 12-Lead ECG

Eng, 2023
Vectorcardiography (VCG) is a valuable diagnostic tool that complements the standard 12-lead ECG by offering additional spatiotemporal information to clinicians.
Prashanth Shyam Kumar, Mouli Ramasamy, Vijay K. Varadan   +2 more
doaj   +1 more source