Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification

Author(s):  
Cristina Gallego Vazquez ◽  
Alexander Breuss ◽  
Oriella Gnarra ◽  
Julian Portmann ◽  
Giulia Da Poian
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2656-2669 ◽  
Author(s):  
Peng Wan ◽  
Yafeng Zhan ◽  
Weiwei Jiang

Author(s):  
Pritam Khan ◽  
Priyesh Ranjan ◽  
Yashvardhan Singh ◽  
Sudhir Kumar
Keyword(s):  

Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.


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