scl-st: Supervised contrastive learning with semantic transformations for multiple lead ecg arrhythmia classification
The automatic classification of electrocardiogram (ECG) signals has played an important
role in cardiovascular diseases diagnosis and prediction. With recent advancements in deep …
role in cardiovascular diseases diagnosis and prediction. With recent advancements in deep …
Multimodality multi-lead ECG arrhythmia classification using self-supervised learning
Electrocardiogram (ECG) signal is one of the most effective sources of information mainly
employed for the diagnosis and prediction of cardiovascular diseases (CVDs) connected …
employed for the diagnosis and prediction of cardiovascular diseases (CVDs) connected …
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data
Petrophysical properties estimation is vital in reservoir characterisation domain to identify
the prospect locations of presence of petroleum. Geophysical sensing with seismic survey …
the prospect locations of presence of petroleum. Geophysical sensing with seismic survey …
Ventricular arrhythmia classification and interpretation using residual neural network with guided backpropagation
Sudden cardiac death is the leading cause of natural death ocurring due to life-threatening
lethal ventricular arrhythmias such as Ventricular Tachycardia (VT) and Ventricular …
lethal ventricular arrhythmias such as Ventricular Tachycardia (VT) and Ventricular …
Improved diagnostic performance of arrhythmia classification using conditional gan augmented heartbeats
D Nankani, R Dutta Baruah - Generative Adversarial Learning …, 2022 - Springer
Cardiovascular diseases such as cardiac arrhythmia are a leading cause of death
worldwide. Detecting cardiac arrhythmias before their occurrence using an …
worldwide. Detecting cardiac arrhythmias before their occurrence using an …
Incorporating demographic and heartbeat features with multichannel ECG for cardiac abnormality detection using parallel CNN and gap network
Background: Early and correct diagnosis of cardiac arrhythmias from Multichannel
Electrocardiogram (MECG) is a challenging problem. We address this problem through …
Electrocardiogram (MECG) is a challenging problem. We address this problem through …
Sammenligning av kardiologisk og algoritmebasert EKG-tolkning på idrettsutøvere: Kan kunstig intelligens forbedre algoritmene?
BJ Singstad - 2021 - duo.uio.no
Hjertestans er den vanligste årsaken til plutselig død blant idrettsutøvere. Dette skyldes ofte
arvelige hjertesykdommer som blant annet kan oppdages på et elektrokardiogram (EKG). I …
arvelige hjertesykdommer som blant annet kan oppdages på et elektrokardiogram (EKG). I …