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Akademický článek

Multi-task transformer network for subject-independent iEEG seizure detection

Autor: Sun, Yulin ^{a, 1}, Cheng, Longlong ^{a, d, 1}, Si, Xiaopeng ^a, He, Runnan ^a, Pereira, Tania ^e, Pang, Meijun ^a, Zhang, Kuo ^a, Song, Xin ^a, Ming, Dong ^{a, b, c, ⁎}, Liu, Xiuyun ^{a, b, c, ⁎}

Publikováno v: In Expert Systems With Applications 5 April 2025 268

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Akademický článek

Learning with incomplete labels of multisource datasets for ECG classification

Autor: Li, Qince, Liu, Yang, Zhang, Ze, Liu, Jun, Yuan, Yongfeng, Wang, Kuanquan, He, Runnan

Publikováno v: In Pattern Recognition June 2024 150

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Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network

Autor: Liu, Yang, Wang, Kuanquan, Li, Qince, He, Runnan, Yuan, Yongfeng, Zhang, Henggui

Supervised deep learning has been widely used in the studies of automatic ECG classification, which largely benefits from sufficient annotation of large datasets. However, most of the existing large ECG datasets are roughly annotated, so the classifi

Externí odkaz: http://arxiv.org/abs/2012.05641

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Short-time detection of QRS complexes using dual channels 1 based on U-Net and bidirectional long short-term memory

Autor: He, Runnan, Liu, Yang, Wang, Kuanquan, Zhao, Na, Yuan, Yongfeng, Li, Qince, Zhang, Henggui

Cardiovascular disease is associated with high rates of morbidity and mortality, and can be reflected by 19 abnormal features of electrocardiogram (ECG). Detecting changes in the QRS complexes in ECG 20 signals is regarded as a straightforward, nonin

Externí odkaz: http://arxiv.org/abs/1912.09223

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Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention

Autor: Liu, Yang, He, Runnan, Wang, Kuanquan, Li, Qince, Sun, Qiang, Zhao, Na, Zhang, Henggui

Heart disease is one of the most common diseases causing morbidity and mortality. Electrocardiogram (ECG) has been widely used for diagnosing heart diseases for its simplicity and non-invasive property. Automatic ECG analyzing technologies are expect

Externí odkaz: http://arxiv.org/abs/1908.10088

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