… image data set is transferred to carry out automatic ECG … and easily applicable deep learning
technique for the classification … efficient transferred deep learning based ECG classification …

… data mining and machine learning techniques. Therefore, a deep learning technique is
introduced in this work to meet the challenges faced by classify the ECG beats. Recently, …

… to detect the ECG in a better way in comparison to the previous and machine learning methods.
… on the previous ECG data and get the advanced and future ECG data. The MIT-DB and …

… As ECG can be processed in either episode-based form or … the data augmentation methods
for ECG records and ECG beats, … data augmentation methods, we believe that deep learning …

… Method II This study proposed a deep learning approach based on a sequential ECG signal
… For this study, heartbeat categories were identified from the 12-lead ECG data, and there …

… two different techniques for the automatic classification of ECG … method, as well as a more
sophisticated technique based on direct learning from ECG raw data through deep learning …

… We aimed to develop a general method, using ECG … Data sources and study population
Our dataset comprised retrospective data from adult patients (aged ≥18 years) who had an ECG …

… Design/methodology/approach In this paper, the ensemble of two deep learning models is
… Compared to traditional techniques from ECG signals, deep learning techniques have the …

… method to encode knowledge into a data channel and a method to align the encoded knowledge
with ECG … Two types of medical knowledge are encoded to help delineate ECG signals. …

… input, has demonstrated significant potential for enabling ECG-… DL algorithms using ECG
waveform data to simultaneously … a data set corresponding to each paper’s methodology and …