On an unnamed ECG dataset, LightGBM with hand-crafted heart rate variability and RR interval features outperformed CNN classifiers trained on GAF, MTF, and recurrence plot images.
Classification of arrhythmia by using deep learning with 2-D ECG signal image representation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
On an unnamed ECG dataset, LightGBM with hand-crafted heart rate variability and RR interval features outperformed CNN classifiers trained on GAF, MTF, and recurrence plot images.