Processed results from ECG data with the P-T algorithm.

<p>(a) ECG time series after applying the P-T algorithm, (b) spectrogram, (c) polar spectrogram, and (d) reverse polar spectrogram. Reverse polar transformed spectrogram images such as (d) were used to train, validate, and test the deep CNN models in our study.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Daehyun Kwon (11985629) (author)
مؤلفون آخرون:	Hanbit Kang (14298410) (author), Dongwoo Lee (1511272) (author), Yoon-Chul Kim (16878966) (author)
منشور في:	2025
الموضوعات:	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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Processed results from ECG data with the P-T algorithm.

مواد مشابهة