Abstract
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end classification of raw electrocardiogram (ECG) signals into heartbeat types, i.e., normal beat or different types of arrhythmias. Time-domain sample points are extracted from raw ECG signals, and consecutive vectors are extracted from a sliding time-window covering these sample points. Each of these vectors comprises the consecutive sample points of a complete heartbeat cycle, which includes not only the QRS complex but also the P and T waves. Unlike existing heartbeat classification methods in which medical doctors extract handcrafted features from raw ECG signals, the proposed end-to-end method leverages a deep neural network for both feature extraction and classification based on aligned heartbeats. This strategy not only obviates the need to handcraft the features but also produces optimized ECG representation for heartbeat classification. Evaluations on the MIT-BIH arrhythmia database show that at the same specificity, the proposed patient-independent classifier can detect supraventricular- and ventricular-ectopic beats at a sensitivity that is at least 10% higher than current state-of-the-art methods. More importantly, there is a...Continue Reading
Citations
Jan 9, 2019·Nature Medicine·Awni Y HannunAndrew Y Ng
Oct 17, 2019·Sensors·Hyun-Myung ChoInchan Youn
May 22, 2019·Netherlands Heart Journal : Monthly Journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·J W BenjaminsP van der Harst
Feb 15, 2020·Sensors·Beanbonyka RimMin Hong
Nov 11, 2020·Sensors·Liping XieJiaxin Zhu
Dec 22, 2020·Computers in Biology and Medicine·Yao GuoWei Chen
Oct 30, 2020·Frontiers in Physiology·Yongbo LiangZhencheng Chen
Oct 31, 2020·Healthcare·Lisha NiuMinglei Shu
Jan 23, 2021·Entropy·Tao WangChunsheng Ou
Jul 14, 2020·Computers in Biology and Medicine·Shenda HongJimeng Sun
Apr 4, 2021·Sensors·Jia-Zheng JianShih-Lun Chen
Apr 4, 2021·Bioengineering·Andrea BizzegoGianluca Esposito
Apr 27, 2021·PloS One·S M Isuru NiroshanaWenxi Chen
May 18, 2021·International Journal of Cardiology·Jin-Yu SunXiang-Qing Kong
May 20, 2021·Computational and Mathematical Methods in Medicine·Enbiao JingIvan Ganchev
Jun 4, 2021·Journal of Electrocardiology·Xiuzhu YangLin Zhang
Jul 25, 2021·Scientific Reports·Sahil Dalal, Virendra P Vishwakarma
Dec 17, 2021·PloS One·Mariusz Topolski, Jędrzej Kozal