Flowchart of the proposed polar spectrogram visualization method.

<p>The polar spectrogram images and their corresponding labels are used to train and validate a deep CNN classification model. Abbreviations: ECG, electrocardiogram; P-T, Pan-Tompkins; STFT, short-time Fourier transform; CNN, convolutional neural network.</p>

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Bibliographic Details
Main Author:	Daehyun Kwon (11985629) (author)
Other Authors:	Hanbit Kang (14298410) (author), Dongwoo Lee (1511272) (author), Yoon-Chul Kim (16878966) (author)
Published:	2025
Subjects:	Physiology Space Science Biological Sciences not elsewhere classified xlink "> portable time fourier transform reverse polar transformation polar transformed time detecting cardiac arrhythmias cinc challenge 2017 deep cnn models normal sinus rhythm based spectrogram generation predicting atrial fibrillation polar transformed spectrograms ecg signal visualization trained deep cnns monitoring heart rhythms atrial fibrillation deep learning rhythm characteristics heart conditions based prediction wearable electrocardiogram three pre results demonstrated physiological signals novel method intuitive representation increasingly utilized four classes existing methods ecg recordings ecg data confidently assess
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Flowchart of the proposed polar spectrogram visualization method.

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