[HTML][HTML] Exercise test for patients with long QT syndrome

CH Chan, YF Hu, PF Chen, IC Wu… - Acta Cardiologica …, 2022 - ncbi.nlm.nih.gov
Congenital long QT syndrome (LQTS) causes life-threatening cardiac arrhythmias and is the
leading cause of sudden cardiac death in young people. Measurements of QT prolongation …

[HTML][HTML] AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment

F Mason, AC Pandey, M Gadaleta, EJ Topol… - npj Digital …, 2024 - nature.com
Abstract The 12-lead electrocardiogram (ECG) is an integral component to the diagnosis of
a multitude of cardiovascular conditions. It is performed using a complex set of skin surface …

[HTML][HTML] Using a smartwatch to record precordial electrocardiograms: a validation study

J van der Zande, M Strik, R Dubois, S Ploux, SA Alrub… - Sensors, 2023 - mdpi.com
Smartwatches that support the recording of a single-lead electrocardiogram (ECG) are
increasingly being used beyond the wrist, by placement on the ankle and on the chest …

[HTML][HTML] Electrocardiogram lead conversion from single-lead blindly-segmented signals

SC Beco, JR Pinto, JS Cardoso - BMC Medical Informatics and Decision …, 2022 - Springer
Background The standard configuration's set of twelve electrocardiogram (ECG) leads is
optimal for the medical diagnosis of diverse cardiac conditions. However, it requires ten …

[HTML][HTML] Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research

H Yoo, J Moon, JH Kim, HJ Joo - Health Information Science and Systems, 2023 - Springer
Purpose The purpose of this study is to construct a synthetic dataset of ECG signal that
overcomes the sensitivity of personal information and the complexity of disclosure policies …

[HTML][HTML] Feasibility and reliability of smartwatch to obtain precordial lead electrocardiogram recordings

N Sprenger, A Sepehri Shamloo, J Schäfer… - Sensors, 2022 - mdpi.com
The Apple Watch is capable of recording single-lead electrocardiograms (ECGs). To
incorporate such devices in routine medical care, the reliability of such devices to obtain …

[HTML][HTML] Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination

H Yoo, Y Yum, Y Kim, JH Kim, HJ Park… - … Signal Processing and …, 2023 - Elsevier
Abstract Background and Objective In a 12-lead electrocardiogram (ECG) examination, the
ECG signals often have low-quality data problems due to high-frequency noise caused by …

Reconstructing 12-lead surface electrocardiogram from reduced lead sets: An encoder-decoder convolutional neural network approach

D EPMoghaddam, A Banta, A Post… - Available at SSRN …, 2023 - papers.ssrn.com
In this work, a patient-specific convolutional neural network (CNN) framework is investigated
to map a multivariate input to a multivariate output, namely synthesizing the standard 12 …

Construction of English Speech Recognition Model by Fusing CNN and Random Deep Factorization TDNN

S Qiu - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
In current society, speech recognition can perform a variety of functions, such as completing
voice commands, enabling speech processing, spoken language translation and facilitating …

Myocardial infarction detection using ITD, DWT and deterministic learning based on ECG signals

W Zeng, C Yuan - Cognitive Neurodynamics, 2023 - Springer
Nowadays, cardiovascular diseases (CVD) is one of the prime causes of human mortality,
which has received tremendous and elaborative research interests regarding the prevention …