Fast and Accurate Algorithm for ECG Authentication Using Residual Depthwise Separable Convolutional Neural Networks

Fast and Accurate Algorithm for ECG Authentication Using Residual Depthwise Separable Convolutional Neural Networks

The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable biometric authentication. Despite growing interest in ECG authentication, there are still two main problems that need to be tackled, i.e., the accuracy and processing speed. Therefore, this paper proposed a fast...

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Bibliographic Details
Main Authors: Eko Ihsanto, Kalamullah Ramli, Dodi Sudiana, Teddy Surya Gunawan
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
electrocardiogram (ECG)
biometric authentication
beat detection
depthwise separable convolution (DSC)
ECG ID database
MIT-BIH database
Online Access:https://www.mdpi.com/2076-3417/10/9/3304

Internet

https://www.mdpi.com/2076-3417/10/9/3304

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