Research on Arrhythmia Classification by Using Convolutional Neural Network with Mixed Time-Frequency Domain Features

LÜ Hang, JIANG Ming-feng, LI Yang, ZHANG Ju-cheng, WANG Zhi-kang

ACTA ELECTRONICA SINICA ›› 2023, Vol. 51 ›› Issue (3) : 701-711.

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ACTA ELECTRONICA SINICA ›› 2023, Vol. 51 ›› Issue (3) : 701-711. DOI: 10.12263/DZXB.20211181
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Research on Arrhythmia Classification by Using Convolutional Neural Network with Mixed Time-Frequency Domain Features

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 51(3): 701-711. https://doi.org/10.12263/DZXB.20211181

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