A Comparative Study of Deep Learning Models for ECG Signal-based User Classification-Reference-Cited by-同舟云学术

A Comparative Study of Deep Learning Models for ECG Signal-based User Classification

Published:2023-08-17 Issue: Volume: Page:
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Container-title:2023 12th International Conference on Advanced Computing (ICoAC)
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Author:

Pabitha P¹,Praveen R¹,Chandana Kamma Cheruvu Jayaraja¹,Ponlibarnaa S¹,Aparnaa A S¹

Affiliation:

1. Anna University, MIT Campus,dept. of Computer Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249210/10249011/10249402.pdf?arnumber=10249402

Reference22 articles.

1. Defending Against Child Death: Deep learning‐based diagnosis method for abnormal identification of fetus ultrasound Images

2. Ensemble classifier fostered detection of arrhythmia using ECG data

3. Cryptanalysis of Biometric Based Secure User Authentication Protocol for IoT Applications

4. Ask-ram-imot: Autonomous shared keys based remote authentication method for internet of medical things applications;praveen;Wireless Personal Communications,2023

5. A Deep Neural Network heartbeat classification approach for arrhythmia detection

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